Theiner, G. & O‟Connor, T. (2010). The Emergence of Group Cognition. In A. Corradini & T.
O‟Connor (Eds.), Emergence in Science and Philosophy. New York: Routledge.
1
2
Introduction ............................................................................................................................. 2
Towards a conceptual framework for analyzing group cognition .......................................... 7
2.1 A „big tent‟ approach to cognition ................................................................................... 7
2.2 What‟s emergent about group cognition? ...................................................................... 11
2.2.1
Emergence1 as organization-dependence ............................................................... 11
2.2.2
Emergence2 as the absence of intentional design ................................................... 14
2.2.3
Emergence3 as multiple realizability ...................................................................... 17
3
Rating group cognition ......................................................................................................... 21
3.1 Distributed problem-solving in groups .......................................................................... 21
3.2 Transactive memory systems in groups ......................................................................... 23
3.3 Collaborative creativity in groups .................................................................................. 31
4
Objections and replies ........................................................................................................... 36
4.1 Is group cognition epiphenomenal? ............................................................................... 37
4.2 How robust are group cognizers? ................................................................................... 40
5
Conclusion ............................................................................................................................ 43
5
The Emergence of Group Cognition
Georg Theiner1 and Timothy O’Connor
1. INTRODUCTION
The Group Mind Thesis—understood as the claim that groups as a whole
can be the subjects of mental states—was a popular idea in the intellectual
landscape of the late nineteenth and early twentieth centuries. 2 For many
scientists and philosophers of that period, it provided a succinct expression
of what they perceived to be two characteristic features of groups: on the
one hand, their ability to function as collective agents who can have intentions, make decisions, and pursue their own goals; on the other hand, the
idea that groups are emergent wholes which are more than the sum of its
members. Combine the two features, and the functional analogies between
individual and group behavior strongly suggest adopting an intentional
stance towards both.
But the group mind thesis fell out of grace with the rise of behaviorism
and operationalism—no doubt expedited by the fact that some of its traditional expressions trafficked freely in unexplained mentalistic and vitalistic idioms that were rightly considered to be at odds with a scientifically
informed worldview. As Wegner et al. (1985: 254–256) point out in their
brief history of the group mind concept, the main problem was that the
group mind seemed to lack its own body. Hence it remained unclear where
to look for its properties, and how to measure them. One way to summarize
the precarious ontological status of group minds is in the form of a theoretical dilemma. If the group mind is nothing over and above the collection of
individual minds and the group processes by which they interact, an appeal
to group minds appears to be superfluous. However, if the group mind is
something over and above all these things, it appears to imply a collective
version of mind-body dualism. This raises the familiar question of how the
group mind exercises its causal influence on individual group members.
Suggested answers included the mediation of a genetic “ectoplasm” (Jung,
1922) or telepathic communication (McDougall, 1920). Neither horn of
the dilemma makes the idea of group minds seem very attractive.
Despite its historical ballast, the idea that groups can have cognitive
properties of their own has recently gained new ascendancy in a wide
Corradini and O'Connor 1st pages.indd 78
T&F Proofs: Not For Distribution
1/27/2010 1:38:40 PM
The Emergence of Group Cognition 79
range of disciplines concerned with group behavior. Economists and political scientists continue to explore the relationships between individual and
group rationality (List, 2008; Pettit, 2003; Satz & Ferejohn, 1994). Sociologists, anthropologists, and historians fi nd it useful to express generalizations about social groups in terms of their collective memory (Burke,
1989; Le Goff, 1992). Social psychologists studying problem solving and
decision making in small groups increasingly embrace the view of groups
as information processors (Larson & Christensen, 1993; Hinsz, Tindale, &
Vollrath, 1997). Organizational scientists study the memory and learning
processes of fi rms and organizations (Argote, 1999; Sandelands & Stablein, 1987; Walsh & Ungson, 1991). Evolutionary biologists have revived
the idea that groups can evolve into adaptive units of cognition as a result
of group-selection (D. S. Wilson, 1997, 2002; D. S. Wilson, van Vugt, &
O’Gorman, 2008). Recent studies of animal behavior have revealed a number of collective decision-making mechanisms that are shared across a wide
range of group types such as swarming ants, schooling fish, flocking birds,
and even humans (Bonabeau, Dorigo, & Theraulaz, 1999; Hölldobler &
E. O. Wilson, 1990; Seeley, 1995). The framework of distributed cognition has been used to study the dynamics of collaborative work practices
which are socially, technologically, and temporally distributed, and whose
coordination is mediated by rich situational, material, and organizational
constraints. (Hollan, Hutchins, & Kirsh, 2000; Hutchins, 1995a, 1995b).
It has recently been embraced by some philosophers of science as a unifying framework to overcome the present hiatus between “rationalist” and
“social-constructionist” approaches to scientific cognition (Giere, 2002;
Giere & Moffat, 2003; Nersessian, 2006). Finally, philosophers seeking a
conceptual analysis of collective intentionality have tied their accounts to
the recognition of groups as intentional subjects in their own right (Gilbert,
1989; Schmitt, 2003a; Tollefsen, 2004).
If we take these proliferating appeals to group cognition at face value, do
they run into the same embarrassments that plagued traditional versions of
the group mind thesis? In a series of papers and monographs examining the
social dimension of cognition, Rob Wilson (2001a, 2004, 2005) has argued
the contemporary appeals to group cognition remain fraught with unnecessary ontological commitments that have no real explanatory value. First, it
is not sufficient to show that groups can collectively perform actions which
are explained by psychological processes if all these processes are reducible
to forms of “socially manifested” individual cognition. Wilson’s way of putting his point with respect to Hutchins’s (1995a) analysis of ship navigation
as a form of socially distributed cognition is that “[t]he statement ‘the crew
saw the oncoming ship and decided to change direction’ might be made true
simply by individual-level psychological facts, together with other, nonpsychological facts about social organization” (2004: 291). Considering David
Sloan Wilson’s (1997, 2002) analysis of groups as adaptive decision-making units in their own right, Rob Wilson goes on to argue that he “would
Corradini and O'Connor 1st pages.indd 79
T&F Proofs: Not For Distribution
1/27/2010 1:38:40 PM
80 Georg Theiner and Timothy O’Connor
seemingly need to show that this functions at the group-level by individuals
relinquishing their own decision-making activities. For it is only by doing so
that he could point to a group-level psychological characteristic that is, in
the relevant sense, emergent from individual-level activity” (2004: 297). The
point of Wilson’s argument is to cast the contemporary proponent of group
cognition in a similar mold as the older collective psychology tradition, in
which the emergence of group-level activity was taken to degrade and corrupt individual cognitive abilities (e.g., Le Bon’s 1895/1960 suspected transformation of autonomous individuals into “maddening crowds”).
Clearly, what drives much of the current philosophical interest in the
idea of group cognition is its appeal to the manifestation of psychological
properties—understood broadly to include states, processes, and dispositions—that are in some important yet elusive sense emergent with respect
to the minds of individual group members.
Like the group mind thesis, the term “emergence” had long fallen into
disrepute, only to be rehabilitated for its seeming applicability to a wide variety of empirical phenomena as well as its usefulness in articulating certain
claims in metaphysics, particularly claims concerning the ontology of the
mind. However, care needs to be taken in understanding the usage of particular authors. It is apparent that there are at least three families of concepts that are at play in different contexts. (See O’Connor & Wong, 2000,
for further discussion.) First, some intend a purely epistemological concept:
emergence in this broad sense implies unpredictability (in some sense) from
a certain vantage point. Second, there are modest metaphysical concepts:
emergent properties of certain complex systems are taken to be real and nonidentical to structures of underlying properties and to make a distinctive
causal contribution to the world, yet this is explicated in such a way as to
be consistent with a broadly (albeit non-reductive) physicalism. Finally, there
are strong metaphysical concepts: emergent properties whose manifestation
is explicitly avowed as being inconsistent with one or other defining feature
of physicalism—either the causal completeness (or “closure”) of physics (Gillett’s 2006 “strong emergence”) or both completeness and the realization of
all macro-level features (O’Connor & Wong’s 2005 notion of “ontological
emergence”; see also O’Connor & Churchill, Forthcoming).
As these last citations indicate, one of us is friendly to the possible application of a strong, physicalism-negating concept of emergence. But such a
view is very much a minority view in contemporary philosophy of mind and
metaphysics. (Some doubt its coherence, thinking it must collapse into an
outright mind-body dualism.) For the present chapter, we ask the reader to
assume that, when it comes to human cognition and consciousness, strong
metaphysical varieties of emergence, on the one hand, and austerely reductive
or eliminativist views, on the other, are all off the menu of serious options on
present evidence. That is to say, we will suppose for the sake of argument the
correctness of the majority view that human mentality is a wholly physical
phenomenon yet emergent in some modest metaphysical sense.
Corradini and O'Connor 1st pages.indd 80
T&F Proofs: Not For Distribution
1/27/2010 1:38:40 PM
The Emergence of Group Cognition 81
Our goal will then be to address a set of related, conditional questions:
If human mentality is real yet emergent in a modest metaphysical sense
only, then
- what would it mean for a group to have emergent cognitive states?
- is this even a metaphysically coherent view?
- relative to which notion of emergence do we have reason to believe
that certain groups in fact have emergent cognitive states?
We will argue that, given our central assumption, evidence from a wide
variety of social science domains makes it plausible that there are group
cognitive states and processes no less metaphysically emergent than human
cognitive (and other special science) states and processes. We leave it to the
reader to DYOC (“draw your own conclusion”): some will follow one of
us in supposing that the consequent is to be embraced as a surprising and
enlightening empirical discovery. Others may follow the second of us in
taking the truth of the conditional to provide significant reason for doubting its antecedent.
2. TOWARD A CONCEPTUAL FRAMEWORK
FOR ANALYZING GROUP COGNITION
The undeniable sex appeal of the idea that groups can have emergent psychological properties is frequently purchased at the expense of conceptual
clarity and rigor. In this section, we propose a conceptual framework for
analyzing group cognition. For philosophers of mind, there is an inherent danger to remain narrowly focused on the question, relative to which
notion of the mental can groups be considered the subjects of mental states
(e.g., can groups have consciousness?). Adopting a ‘big tent’ approach, we
treat the notion of cognition as a theoretical term, and break it down into
several distinct capacities that we take to be indicative of cognitive systems.
But even if we confi ne ourselves to a predominantly functional understanding of cognition, it remains an open question whether groups can have
emergent cognitive properties in their own right. To address that question,
we flesh out three different features that emergence can plausibly be taken
to signify in the context of group cognition: dependence on the social organization and interactions among individuals; the manifestation of unintended cognitive effects at a group level; and the multiple realizability of
cognitive properties by different types of group structures.
2.1. A ‘Big Tent’ Approach to Cognition
A promising strategy for making sense of the idea of group cognition is
one that has been quite successfully employed in cognitive science, where
Corradini and O'Connor 1st pages.indd 81
T&F Proofs: Not For Distribution
1/27/2010 1:38:40 PM
82 Georg Theiner and Timothy O’Connor
the concept of cognition is treated as a theoretical term that is largely
defi ned by its role in our explanatory practices. In cognitive science and
related fields, the relevant meaning of cognition is partly inspired by but
nevertheless to be distinguished from what we would ordinarily consider
as instances of mental states or activities. 3 In this section, we likewise
propose to employ a flexible notion of cognition that we can plausibly
consider as common ground in the present debate over group cognition.
Bearing in mind the conditional nature of our enterprise that we have
outlined earlier, there are several desiderata for a suitably ecumenical,
‘big tent‘ approach to cognition.
First, we need a notion of cognition that is not bio-centric (i.e., a notion
which is not essentially tied to the physical substrate of cognitive processes
occurring inside the sheath of biological organisms). In philosophy, the
putative substrate-neutrality of mental properties is commonly associated
with functionalist theories of mind (Block 1980, 1996; Fodor, 1968; Lewis,
1972; Lycan, 1987). Broadly speaking, functionalist theories of mind claim
that what makes something a mental state of a particular type does not
depend on its intrinsic material constitution, but rather on the way it functions in the system to which it belongs.
A second desideratum is to analyze the notion of cognition as a cluster
concept which subsumes a more or less loosely knit family of capacities that
we can distinguish for taxonomic purposes (for similar approaches, see
Chadderdon, 2008; Dennett, 1996; Poirier & Chicoisne, 2006). The possession of each capacity enables its bearer to engage in a distinctive range
of behaviors that we associate with signs of intelligence. This divide-andconquer strategy is necessary to keep all parties of the debate from drawing
cheap but unreliable inferences about the occurrence of group cognition.
For instance, when we consider the rationality of ant colonies as unitary
decision makers in their own right, we do not wish to imply that they
possess a collective form of consciousness. Consequently, the absence of
consciousness from the catalogue of group-level cognitive properties does
not by itself refute the broader idea of group cognition. In defense of this
approach, we should emphasize that our goal here is not to provide a reductive analysis of cognition but to provide a set of diagnostic criteria that
allow us to classify and compare various systems in terms of their cognitive
prowess. The criteria that we shall propose are not meant to be mutually
exclusive or jointly exhaustive. To exemplify the ‘big tent’ approach we
have in mind, consider the following list of capacities that have all been
discussed in the literature as characteristic features of cognition. We shall
say that system S is cognitive to the extent that
1. AD (adaptability): S can adapt its behavior to changing environments.
2. IP (information-processing): S can process information from its
environment.
Corradini and O'Connor 1st pages.indd 82
T&F Proofs: Not For Distribution
1/27/2010 1:38:41 PM
The Emergence of Group Cognition 83
3. H (heed): S can selectively and purposefully attend to its
environment.
4. IT (intentionality): S can create internal representations of its
environment.
5. E (extension): S can modify its environment through the creation of
artifacts.
6. R (self-refl exivity): S can become aware of itself as a cognitive agent.
7. C (consciousness): S can have conscious experiences of itself and the
world.
Moving from the possession of one or more of these capacities to the subject of cognitive properties, the associated notion of a “group mind” should
thus not be considered as an all-or-nothing phenomenon, but one that
admits of degrees. Cognitive systems which exhibit more of the relevant
cognitive capacities are ranked higher in terms of their “mindfulness”. It is
a desirable consequence of our list that individual human beings are very
“mindful” creatures, although we do not assume that the cognitive profile
of human beings always provides the gold standard of what it means to be
cognitive. In this paper, we are only concerned with the fi rst five conditions.
But for the sake of completeness, let us say a few words about the remaining
two conditions on our list.
Condition R is borrowed from recent philosophical discussions of
epistemic agency (Burge, 2000). It refers to the essentially indexical capacity of deliberate epistemic agents to think of themselves in fi rst-person
terms. In his discussion of group minds, Pettit (2003) has argued that certain groups can not only be intentional systems in their own right, but
would also qualify as institutional persons. As opposed to the former, Pettit
takes it as a mark of persons that they can be held responsible for failures
to unify their intentional states and actions in a way that complies with
rational norms. For persons to assume this kind of responsibility, they must
actively avow and acknowledge their intentional mental states and actions
as their own. Burge (2000) has suggested that the characteristic immediacy
by which one is moved to think and act in accordance with one’s own
reasons (but not anybody else’s) is based on understanding the fi rst-person concept. Against epistemic agent individualism, Tollefsen (2004) has
argued quite convincingly that groups can be subject to the same rational
assessment when they self-consciously act from a fi rst-person plural point
of view. If Pettit and Tollefsen are right, their examples show how certain
collectivities can satisfy condition R.
Finally, let us explain how consciousness fits into this picture. Clearly,
the pre-theoretical notion of consciousness is ambiguous and admits of
different interpretations (Chalmers, 1996; Tye, 1995). For instance, it is
sometimes used to denote phenomena which are already captured under
conditions IT, H, or R. Condition C is meant instead to cover the phenomenal aspects of consciousness. Consider the distinction between what
Corradini and O'Connor 1st pages.indd 83
T&F Proofs: Not For Distribution
1/27/2010 1:38:41 PM
84 Georg Theiner and Timothy O’Connor
Block (1995) has called A-consciousness and P-consciousness. Phenomenal
(P-) consciousness describes the character of experience; the phenomenally
conscious aspect of a state is what it is like to be in that state. The mark of
access (A-) consciousness, by contrast, is being directly available for global
executive control, such as being poised for use in reasoning and rationally
guiding speech and action. As we understand condition C, it truly applies
only to cognitive systems which have the capacity to entertain P-conscious
mental states. Our implicit assumption here is that A-consciousness can be
reduced to a composite of other conditions—especially IP, IT, H, R, and
perhaps E—in which case it would be redundant to assign it a level of its
own. We currently see no compelling evidence that there are any groups
which satisfy condition C. Views of human mentality that reject physicalism may suppose that this acknowledgment is no small concession, but one
that gives the whole game away: it is open to the dualist to suppose that true
mentality is constitutively tied to the capacity for conscious awareness. But
this sort of view, it seems to us, would be very implausible for a physicalist,
for whom conscious mental states are just one special variety of physically
realized state playing certain causal roles in a person’s mental economy.
We will, in any case, return to the issue of consciousness and the status of
group minds at the end of the chapter.
2.2. What’s Emergent About Group Cognition?
2.2.1. Emergence1 as organization-dependence
The intuition that a distinction must be made between genuine systems
(e.g., a biological organism) and mere aggregates (e.g., a heap of stone) is
epitomized in the popular slogan that systems are emergent wholes which
are “more than the sum of their parts”. Taking this slogan in a very uncompromising sense forces a choice between “holism” and “atomism”, with the
holist supposing unity-conferring emergent properties beyond the reach of
mechanistic explanation. Thus explicated, holism is committed to emergent properties in the strong metaphysical sense that is abjured here. How
instead should a physicalist who takes seriously the reality and importance
of the system/aggregate distinction seek to elucidate it?
In a series of papers, Bill Wimsatt (1974, 1986, 1994, 1997; collected in
Wimsatt, 2007) proposes that the emergence1 of complex system properties is defi ned as a failure of “aggregativity”, considered as a strong form
of organization-dependence. (See especially Wimsatt, 1986.) Let s1 to sm
stand for the m components of a system S (relative to some decomposition
D); p1 to pn for the n properties of S’s components; and F for the organization or mode of interaction between pi(sj), such that a system property P(S)
is determined by the composition function: P(S) = F[pi(sj) for i = 1 to n, and
j = 1 to m]. For P(S) to be purely aggregative, it must satisfy the following
conditions 1–4 (for a given decomposition D of S); otherwise, it exhibits
degrees of emergence1.
Corradini and O'Connor 1st pages.indd 84
T&F Proofs: Not For Distribution
1/27/2010 1:38:41 PM
The Emergence of Group Cognition 85
1. IS: P(S) is invariant under the inter-substitution of parts of S, or any
other parts taken from a relevantly similar domain.
2. QS: P(S) remains qualitatively similar (differing only in value) under
the addition or subtraction of parts.
3. DR: P(S) is invariant under the decomposition and re-aggregation of
parts.
4. CI: There are no cooperative or inhibitory interactions among parts.
Consequently, we can say that a group S instantiates a cognitive property
P(S) just in case P(S) is emergent1 relative to a decomposition of S into its
members, their behavioral and psychological properties, and their modes
of social interaction.4 Let us briefly elaborate on some features of this
analysis.
First, since Wimsatt’s defi nition of emergence1 presupposes the existence of a composition function, emergent1 properties of a system can in
principle be mechanistically explained in terms of the system’s components, their properties, and the totality of their interactions. We note that
Wimsatt refers to the suggested type of componential analysis as a form
of “reductive” (1997: S373) explanation, because he considers the composition function as an “equation” which yields “an inter-level synthetic
identity, with the lower level specification a realization or instantiation
of the system property” (1997: S376). 5 (Whether the term ‘reductive’ is
an apt one in this context will be hotly disputed, but we need not consider it here.) Second, complex systems with emergent1 properties fail to
be “near-decomposable” in the sense of Simon (1969). Since the properties of such systems are largely dependent upon the interactions between
parts that do not perform any tasks which can recognizably be associated
with a functional decomposition of the whole, the classic twin strategies of
decomposition and localization fall short (Bechtel & Richardson, 1993).
This means that their behavior cannot be properly understood by fi rst
dividing up the entire system into a number of independently working
component units, characterizing the contributions of these units as if they
were isolated from each other, and then adding up their contributions by
associating them with specific aspects of what the system does as a whole.
Wimsatt has argued that expressions of nothing-but-tery, such as ‘the
mind is nothing but neural activity’ or ‘social behavior is nothing but the
actions of individuals’, are a result of such functional localization fallacies
(1997: S382–S383). They reflect our disposition to use the assumption of
near-decomposability as a powerful kind of meta-heuristic when we seek
out mechanistic explanations, because aggregative decompositions afford
regularities which are less context-dependent, and support simpler theories
and models. However, this does not put emergent1 properties beyond the
wider scope of more sophisticated (and surely empirically more adequate)
mechanistic models that are better equipped to deal with interactional
complexity (Bechtel, 2006; Bechtel & Abrahamsen, 2002).
Corradini and O'Connor 1st pages.indd 85
T&F Proofs: Not For Distribution
1/27/2010 1:38:41 PM
86
Georg Theiner and Timothy O’Connor
2.2.2. Emergence2 as the absence of intentional design
A recurring thread in the fabric of social life is that the behavior of individuals is often not a good predictor of its collective consequences. Public
benefits can flow from selfish intentions. Adam Smith’s (1776) conception
of the “invisible hand” famously refers to the idea that a community of
traders, acting purely from self-interest, is driven by the competitive forces
of the marketplace to furnish goods for all, at an affordable price. Conversely, public vices can spring from private virtues. The “tragedy of the
commons” (Hardin, 1968) illustrates a scenario in which a community
of independently acting rational individuals suffers detrimental long-term
consequences that are not in anybody’s self-interest. Collective actions that
generate effects other than what individuals intended or expected stir our
natural curiosity, because they violate untutored intuitions about how local
behavioral rules scale to the global properties of inter-connected wholes
(Resnick, 1994). We shall say that emergent 2 cognitive properties arise
from the local interactions between many individuals, but without being
planned or purposefully designed by any of these individuals (or some central planning agency), and which those individuals may even fail to notice.6
Let us briefly characterize a few of the roles which the notion of emergence2
has played in the social sciences.
As our two examples indicate, some of the historically most influential
statements of emergence2 come from economics, where it has been used
to advocate a reductionist doctrine known as methodological individualism (Popper, 1957; Watkins, 1957). This might come as a surprise at fi rst,
since methodological individualists contend that all social phenomena can
and should be explained in terms of the actions of individuals and how
they are interrelated. However, in order to carve out a niche for economics
as an autonomous discipline vis-à-vis psychology, individualist economists
pointed to the occurrence of undirected collective effects that can spring
from the actions of the many. For instance, Hayek wrote that “the conscious action of many men produce undesigned results [ . . . ] regularities
which are not the result of anybody’s design. If social phenomena showed
no order except in so far as they were consciously designed, there would
indeed be no room for theoretical sciences of society and there would be, as
is often argued, only problems of psychology” (1942: 288, cited after Sawyer 2005: 43). Far from showing an essential incompleteness of individuallevel explanations, Hayek thus took the absence of intentional design as an
impetus to discover the laws by which emergent 2 social phenomena arise
(e.g., Hayek’s (1944) “compositive method”).
A different intellectual tradition pre-occupied with emergent2 social phenomena is known as (the sociology of) collective behavior (Blumer, 1939;
Lang & Lang, 1961; Park & Burgess, 1921). In this tradition, the term ‘collective behavior’ refers to a class of social phenomena that are not shaped
by pre-established social structures (e.g., laws, institutions, conventions),
Corradini and O'Connor 1st pages.indd 86
T&F Proofs: Not For Distribution
1/27/2010 1:38:41 PM
The Emergence of Group Cognition 87
but arise “spontaneously” from people behaving en masse, guided only
by simple and purely local concerns. Paradigmatic examples of collective
behavior (in this sense) are mob actions, riots, rumors, mass delusions, and
fads, although Park also advanced the stronger claim that “institutions and
social structures of every sort may be regarded as products of collective
action” (1927: 733).
Third, the remarkable coherence and synchronization of collective animal behavior such as swarming ants, flocking birds, and schooling fish has
long stirred the imaginations of scientists and philosophers. “They must
think collectively, all at the same, or at least in streaks or patches—a square
yard or so of an idea, a flash out of so many brains”, wrote the field naturalist Edmund Selous (1931) upon observing the splendor of tens of thousands
of starlings coming to roost (cited after Couzin, 2007: 715). In similar vein,
the entomologist William Morton Wheeler (1920/1939) coined the term
‘super-organism’ to denote the high degree of co-dependence and functional integration among eusocial insects (e.g., ants, bees). Arguably, what
makes the attribution of emergent 2 psychological capacities—including perception, planning, and decision making—to “super-organismic” groups so
intuitively compelling is the stark discontinuity between the complex collective behavior that we observe and the rudimentary cognitive resources
of individual members.
Finally, the concept of emergence2 has also fueled the new wave of
“mechanists” in contemporary social science who reject the traditional
deductive-nomological covering law model of explanation (e.g., Hempel,
1965) in favor of generative, process-oriented approaches (Alexander &
Giesen, 1987; Macy & Willer, 2002; Sawyer, 2004). Unlike some traditional versions of individualism, the new mechanists do not deny the reality of higher-level social structures, but re-emphasize the need to provide
“bottom-up” explanations of the link between micro-social interactions
and macro-social patterns. Since the 1990s, a powerful computational
methodology by which researchers have studied the mechanisms of social
emergence2 is known as agent-based modeling (Epstein & Axtell, 1996;
Goldstone & Janssen, 2005; Miller & Page, 2007). The concepts and theoretical tools on which agent-based models are based stem largely from complexity theory (Bak, 1996; Ball, 1998; Holland, 1975, 1995; Kauffman,
1993). A fundamental insight of complexity theory has been that a set of
relatively simple rules governing the behavior of decentralized components
can give rise to qualitatively novel, global patterns of organization, without
being regulated by an outside source or managed by a centralized controller. Emergent2 ordering processes such as phase transitions, non-equilibrium bifurcations, and power-law distributions are generic phenomena that
occur in the same way over a wide range of superficially diverse systems.
Agent-based models demonstrate how the inexorable dynamics of collective
phenomena such as traffic jams, crowd movements, market fluctuations,
the growth of fi rms and cities, the formation of alliances, and the evolution
Corradini and O'Connor 1st pages.indd 87
T&F Proofs: Not For Distribution
1/27/2010 1:38:41 PM
88
Georg Theiner and Timothy O’Connor
of cooperation can emerge2 from a few underlying regularities as long as
they are followed by a great many people (Ball, 2004).
2.2.3. Emergence3 as multiple realizability
In metaphysics and philosophy of science, there has been considerable
debate over the question of whether physical realization is an ontological
dependence relation which supports ontological reductions (Fodor, 1974,
1997; Horgan, 1993; Kim, 1989, 1992, 1998; Lewis, 1972; O’Connor &
Churchill, Forthcoming; Shoemaker, 2007; Van Gulick, 2001). A cluster
of influential arguments against the reduction of higher-level properties to
their lower-level realizers is based on the premise—commonly referred to as
multiple realizability—that functional system properties can in principle be
instantiated by indefi nitely many distinct physical structures (Block, 1997;
Fodor, 1974, 1997; Gillet, 2003; Shapiro, 2000; Sober, 1999).7 Arguments
for the multiply realizable nature of mental states are commonly associated
with functionalist theories of mind (Block, 1996). Broadly speaking, functionalists claim that what makes something a mental state of a particular
type does not essentially depend on its intrinsic material constitution, but
rather on the way it functions in the system to which it belongs. Functionalism is thus consistent with the idea that individuals and groups can be
sufficiently alike in their functional organization that they share the same
mental states, even though the mechanisms by which these mental states
are realized are obviously quite different in each case.
The implication that groups could think if they are properly organized
has often been used by critics to chastise functionalism for its unabashed
“liberalism” (Block, 1978; Searle, 1980, 1992). However, what some see
as a fundamental “bug” of functionalism that needs to be fi xed, others
embrace as a theoretical virtue that we ought to preserve. Our ecumenical
‘big tent’ approach to cognition departs from traditional versions of functionalism in at least two crucial respects. First, since we do not claim that
phenomenally conscious mental states fall within the purview of functionalism, the most pressing philosophical objections against functionalism do
not carry much weight against the understanding of group cognition that
is presented here. Second, functional characterizations of group cognition
that derive from a conceptual analysis of folk-psychological concepts often
remain on a very coarse-grained level, and thus appear to be explanatorily
“shallow”. However, this deficit simply reflects the fact that they are conceived out of the armchair, without paying any attention to empirical facts
about the abilities of groups to solve cognitive tasks. Let us briefly revisit
three fields of group research in which the functional equivalence between
individual and group cognition has served as an organizing framework.
First, in the social psychology of small group performance, there has been
a growing trend to consider groups as the seats of cognition (e.g., problem
solving, judgment, inference, and decision making) and knowledge in their
Corradini and O'Connor 1st pages.indd 88
T&F Proofs: Not For Distribution
1/27/2010 1:38:41 PM
The Emergence of Group Cognition 89
own right.8 Their functional approach to understanding group problemsolving is predicated on a view of groups as information processors. For
instance, Larson and Christensen (1993: 6) emphasize that they use the
term “social cognition” “at the group level of analysis to refer to the social
processes (e.g. introducing information into a group discussion) that relate
to the acquisition, storage, transmission, manipulation and use of information for the purpose of creating a group-level intellective product. [ . . . ]
At the group level of analysis, cognition is a social phenomenon”. In their
focused review of research on small-group performance, Hinsz et al. (1997)
employ a generic information-processing model as an organizing framework that is directly borrowed from cognitive psychology. In this model,
a group obtains information through interaction with its environment.
The context in which certain information is acquired, during the attention
phase, influences the choice of processing objectives. The encoding process
involves the selective transformation of information into representations,
which can be stored in and retrieved from memory components. In the
processing work space, information integration and schematic processing
occur on the basis of a variety of rules, strategies, heuristics, and procedures. After enough information has been processed to meet the relevant
objective, the cognitive agent makes a response which changes the situation
and may lead to feedback that informs the agent about these changes. All
of these processes are potentially subject to modification through learning
(Hinsz et al., 1997: 43).9
Second, another research framework in which the realm of cognition is
extended from an individual to a collective unit of analysis is the theory of
distributed cognition (Hollan et al., 2000; Hutchins, 1995a, 1995b; Norman, 1991). It can be characterized by two main theoretical commitments
(Hollan et al., 2000: 3). First, the boundaries of cognitive systems are
delimited by the functional relationships among its constitutive elements,
rather than the intuitive biological boundaries of the individual. Second,
there are no intrinsic constraints on the range of mechanisms that may
be assumed to participate in cognitive processes. For instance, Hutchins
(1995a) provided a detailed study of ship navigation crews as socially and
technologically distributed cognitive systems. By extending David Marr’s
(1982) tripartite computational analysis of cognition from the individual
to the collective unit of analysis, Hutchins was able to gain novel insights
into the ways in which individuals, artifacts, representational media, and
the environment are coordinated in the context of navigation tasks.10 An
important function of social organization—together with the structure
added by the concrete context of activity—is to determine the flow of information within the crew. Summarizing his analysis, Hutchins concludes that
“organized groups may have cognitive properties that differ from those
of the individuals who constitute the group. These differences arise from
both the effects of interactions with technology and the effects of a social
distribution of cognitive labor. The system formed by the navigation team
Corradini and O'Connor 1st pages.indd 89
T&F Proofs: Not For Distribution
1/27/2010 1:38:41 PM
90 Georg Theiner and Timothy O’Connor
can be thought of as a computational machine in which social organization
is computational architecture” (1995a: 228).
Third, in the field of animal cognition, it has been shown that collective decision making of grouping animals has some important features in
common with neural mechanisms of decision making in the brain (Couzin,
2009). This is particularly striking in the case of ant colonies, which function as unitary decision makers in the context of foraging for resources,
choosing a place to live, or constructing a nest. Passino, Seeley, and Visscher (2008) highlight a number of interesting functional parallels between
the synchronized patterns of rhythmic activity displayed by ant swarms and
neural networks. Ants exhibit a “neuron-like” behavior insofar as inactive
ants have a low propensity to become spontaneously active, but can become
excited by other ants with whom they come into contact. Similar to the
beyond-threshold depolarization of a neuron, ants seem to temporally integrate the inputs they receive, and start moving if their activation exceeds a
certain level. Conversely, ants are prone to lapse back into inactivity if their
activation is not sufficiently reinforced, and even exhibit a short refractory period (similar to neurons) before they can be reactivated—a mechanism which keeps the swarm from getting permanently “locked” into an
excitatory state. Another functional parallel concerns the role of rhythmic
oscillation for input selection. It has been shown that rhythmic neuronal
network activity is an energy-efficient way to elevate the brain into discrete
windows of high responsiveness to external stimuli. Similarly, the periodical synchronization of ant activity might provide privileged windows of
opportunity for the swarm to respond to external foraging opportunities,
or efficiently allocate workers for maintenance tasks within the nest.
3. RATING GROUP COGNITION
By now, it should be clear that the multi-faceted notion of emergent group
cognition that we propose is neither trivial nor shrouded in metaphysical
mystery. To sharpen the focus of our analysis, we now look at three welldocumented cases of group-level activity through the lens of our theoretical
framework, and rate each of them in terms of their respective degrees of cognition and emergence1–3. We have chosen these toy examples not because we
believe that they are equally spectacular instances of its kind, but because
they enable us to test the discriminatory capacity of our diagnostic tools—
especially where the suggested criteria pull us in different directions.
3.1. Distributed problem solving in groups
In order to investigate the impact of social network structure on the distributed problem-solving abilities of groups, Kearns, Suri, and Montfort
(2006) studied groups who were attempting to solve the graph-coloring
Corradini and O'Connor 1st pages.indd 90
T&F Proofs: Not For Distribution
1/27/2010 1:38:41 PM
The Emergence of Group Cognition 91
problem. A familiar instance of this problem arises if one has to fi nd a way
to color a map of the United States with the smallest possible number of colors such that no two adjacent states may share the same color. They chose
the problem as an abstract model of social settings in which it is desirable to
distinguish one’s behavior from that of one’s neighbors. Examples of these
settings include the scheduling of events in a limited number of rooms,
selecting a ringtone that differs from one’s friends, or the differentiation of
expertise within a social organization. In the experiment, subjects had to
collectively solve a number of coloring problems as part of a network that
had one of six possible topologies. Each of the chosen network topologies,
which corresponded to recently proposed models of network formation,
belonged to one of two families. Members of the cycle-based family, all
of which required a minimum of two colors, included a simple cycle, two
“small-world” networks (Watts & Strogatz, 1998), and a more centralized leader cycle containing two privileged nodes. The other two topologies
were generated according to the “preferential attachment” model (Barabási
& Albert, 1999), with two (minimum of three colors) or three (minimum
of four colors) links initially added to each node. The subjects were connected through a computer platform which provided them with either local
or global information about the structure and current coloring state of their
network, but without receiving any strategic hints of how to play.
The ability of groups to solve the coloring problem was strongly affected
by the topology of their network. Within the cycle-based family, for which
coloring was generally easier, a smaller average shortest-path length led to
reduced solution times. This means that while the addition of links complicates the coordination problem faced by individuals (because they must
take into account a larger number of neighbors), it evidently has the opposite effect for the group as a whole by reducing the number of links coloring
conflicts must travel through the network in order to be resolved. Similarly,
the effects of varying the locality of information provided to the subjects
again depended on network structure. Whenever individuals seem to have a
strong intuitive grasp of the collective effort that is required to converge on
one of the optimal solutions, a high-information view was beneficial. However, in more complex situations where this is not the case (e.g., for preferential attachment networks), giving individuals more information about the
collective state of their network significantly hampered their performance
as a group. As a possible explanation, Kearns et al. (2006: 826–827) point
out that the time and effort subjects spend on attending to, and perhaps
even trying to influence (e.g., by signaling behavior) more distant network
activity may effectively distract them from doing their own local subtask.
Let us briefly evaluate the example as a putative instance of emergent
group cognition. To begin with, we take it as uncontroversial that graph
coloring (and all formally equivalent instances of the same problem) is a
computationally hard task that requires a substantial amount of intelligence if it is performed by a human being or a machine (Jensen & Toft,
Corradini and O'Connor 1st pages.indd 91
T&F Proofs: Not For Distribution
1/27/2010 1:38:41 PM
92
Georg Theiner and Timothy O’Connor
1995). Based on parity considerations, we further claim that one ought
to ascribe the corresponding level of intelligence to a group if its members
are collectively responsible for solving the same optimization problem. At
the cognitive minimum, our diagnostic criteria suggest that groups which
can solve the coloring problem are adaptive information-processing units
in their own right (see also Gureckis & Goldstone, 2006). This achievement ranks relatively high in terms of emergence1. The coloring pattern
means that condition IS is restricted to subsets of individuals with the same
color. Furthermore, the selective influence of different network topologies
implies a violation of condition DR, and condition CI fails because every
individual’s choices are constrained by the choices of her neighbors. The
resulting pattern of differentiation is an emergent 2 effect of repeated cycles
of social interactions. In particular, we have seen two unexpected ways
in which the regularities governing individual- and group-level behaviors
pull into opposite directions. Finally, in virtue of the formal equivalence
between social coordination tasks that conform to the coloring problem,
any generalizations about the problem-solving abilities of groups that are
couched purely in relational terms of their network structure are multiply
realizable and thus count as emergent3.
3.2. Transactive Memory Systems in Groups
When people regularly have to remember things together as a group—as
intimate couples, families, or work teams do—they tend to develop a division of cognitive labor, assuming that each member can reliably access the
desired information from others on a need-to-know basis. To study the
functional organization of memory as a group-level phenomenon, Daniel
Wegner (Wegner, 1986, 1995; Wegner et al., 1985) introduced the notion
of a transactive memory system (TMS). A TMS generally consists of two
components: a representational component which is the sum total of individual memories, including transactive meta-memories about who knows
what, and a procedural component which includes all direct and indirect
communication processes (“transactions”) by which members cooperatively
allocate, encode, retrieve, elaborate, and share information. For instance,
allocating memory items and encoding responsibilities, the semantic elaboration of memories in group discussion, and interactive cueing are physically constitutive vehicles of transactive memory procedures which partly
occur outside people’s heads. Wegner claimed that a TMS is “a knowledgeacquiring, knowledge-holding, and knowledge-using system that is greater
than the sum of its individual member systems” (1986: 256).
If Wegner is right, how can we track a group-level cognitive construct
such as TMS, other than measuring group performance (e.g., collective
recall)? To answer this question, consider a study by Liang, Moreland, and
Argote (1995), conducted within the assembly-task paradigm.11 The goal
of their study was to show how the experience of working together as a
Corradini and O'Connor 1st pages.indd 92
T&F Proofs: Not For Distribution
1/27/2010 1:38:41 PM
The Emergence of Group Cognition 93
group can induce a TMS that improves group performance. As predicted,
they found that groups whose members were trained together to assemble
radios recalled more steps of the procedure and produced radios with fewer
errors than when trained alone. But to infer that TMS acted as a mediator
of group behavior, they had to open the “black box” of group cognition
(Figure 5.1).
In their analysis, TMS is treated as a (second-order) latent variable
hypothesized to underlie three (fi rst-order) cognitive manifestations that
were found to be positively correlated with each other and group performance: memory differentiation (M1), the tendency of group members
to specialize in recalling distinct aspects of the assembly process; task
credibility (M2), how much members trusted one another’s expertise
(associated with behavioral measures such as less need to claim expertise, better acceptance of procedural suggestions, less criticism); and task
coordination (M3), the ability of group members to work together more
smoothly (measured, e.g., by less need for explicit planning, fewer misunderstandings, greater cooperation). The combined scores on each fi rstorder factor were used to create a TMS-index. For three other social,
but non-cognitive variables (task motivation, group cohesion, and social
identity), no correlation with group performance was found except for
social identity. Finally, a multiple regression analysis confi rmed that
TMS, but not social identity, mediated the influence of group training
on work performance.
So far, we have looked at TMS as collective repositories of task-specific
knowledge that make groups better at doing the kinds of things which they
were initially trained to do. What evidence do we have that TMS are not
just collective memory systems, but also collective learning systems? Lewis,
Lange, and Gillis (2005) studied the effect of TMS on group learning,
learning transfer, and adaptation to changing task demands. Underlying
their “learning-by-doing” framework is the assumption that every task performance that is mediated by a group’s previously induced TMS at the same
time provides a learning environment which changes formerly established
TMS structures and processes, and thereby enables the group to acquire
new problem-solving skills.
Whenever a group utilizes its existing TMS to carry out the task for
which it was originally trained (e.g., assembling a radio), it undergoes a
re-organization as a result of practice which prepares the group to transfer
its knowledge to similar tasks in the same domain. First, group members
get a chance to revise and recalibrate their beliefs about who knows what,
based on immediate feedback for their performance as individuals and as a
group. Second, group members have an opportunity to elaborate and contextualize their transactive memories, based on how their own task-related
knowledge relates to other members’ jobs, roles, and expertise. Shared
conceptualizations of interrole knowledge have been shown to enhance
group coordination and performance (Marks et al., 2002). Third, greater
Corradini and O'Connor 1st pages.indd 93
T&F Proofs: Not For Distribution
1/27/2010 1:38:41 PM
94
Georg Theiner and Timothy O’Connor
experience also creates more specific expectations about how transactive
memory procedures are likely to unfold, which leads to a regularization of
habitual practices.
Moreover, groups with a history of applying their TMS to a variety of
related tasks should also be primed to develop a deeper understanding of
the task domain. First, the interactive cueing processes which are characteristic of efficient TMSs prompt group members to draw explicit comparisons
across tasks, which heightens their ability to recognize structural commonalities. The analogical encoding of two different but structurally similar
problems promotes the occurrence of knowledge transfer and abstract
understanding (Gentner, Loewenstein, & Thompson, 2003). Second, the
growing refi nement of shared higher-order knowledge supports a process
of collective induction (Laughlin, 1999) by which groups can collectively
infer general principles underlying the task domain.
In sum, the “learning-by-doing” framework implies that groups with
active TMS should outperform those with no prior TMS on similar follow-up tasks, and are more likely to demonstrate abstract knowledge about
the task domain. Consistent with earlier research on TMS in intimate
couples (Hollingshead, 1998; Wegner, Erber, & Raymond, 1991), it also
entails that groups which experience a disruption of a prior TMS (e.g.,
as a result of membership change) perform worse on subsequent learning
tasks than those which have never developed a TMS. Even though Lewis
et al. (2005) did not fi nd in their experiment a significant effect of TMS on
learning transfer when it was previously utilized in a single task only, their
fi ndings generally confi rmed the suggested predictions.12
A group whose members collectively enact a TMS manifests several of
the cognitive capacities we have mentioned. First, the ability of groups with
a TMS to learn new tasks provides strong evidence that TMS can adapt
to changing environments. Second, it is easy to see how we can apply a
generic information-processing model as the one discussed earlier (Section
2.2.3) to describe the functional organization of memory as a group-level
Figure 5.1 Opening the “black box” of Group Cognition.
Corradini and O'Connor 1st pages.indd 94
T&F Proofs: Not For Distribution
1/27/2010 1:38:41 PM
The Emergence of Group Cognition 95
phenomenon. The task-specific TMS that we have described is most plausibly construed as an instance of procedural memory, because it concerns an
implicit knowledge of how to assemble a radio as a group. However, after
the occurrence of TMS learning, it also encompasses a body of declarative
knowledge about principles of the underlying domain. Third, the allocation
of members’ time and effort to acquire and retain specific knowledge about
the assembly process reveals how much attention the group is paying to
different categories of information.
Do TMS exhibit a collective form of intentionality? Understanding attributions of collective intentionality in the context of explaining collective
actions has been a topic of considerable controversy in analytic philosophy
of action.13 Individualists hold that collective intentionality can be analyzed in terms of an interlocking complex of appropriately shared individual intentions together with a mutual awareness of each other’s intentions
(e.g., Bratman, 1993, 1997); anti-individualists deny this claim. There are
two main camps among anti-individualists who differ in what they take to
be the subject of collective intentionality. According to the “singularist”
option, collective intentional states form a special class of intentional states
that are directed toward the performance of a group action, but possessed
by the individuals who intend to act their part in the pursuit of this goal
(e.g., Searle 1990, 1995). The other, “pluralist” option is to hold that collective intentional states are literally properties of collective agents (e.g.,
Gilbert, 1989; Schmitt, 2003a; Tollefsen, 2004).
While we agree with the pluralist claim that groups can be genuine subjects of collective intentionality (if our guiding assumption is correct), our
reasoning is importantly different from standard accounts of anti-individualism. Standard arguments for anti-individualism essentially hinge on the
propositional content of mental states that are directed toward doing something together as a group. In contrast, our claim is concerned not with the
intentional content, but the physically constitutive vehicles of intentional
mental states (Hurley, 1998). What underpins the collective intentionality
of TMS-states is not (just) that they are directed toward group actions,
but that the memory resources which are jointly sufficient to realize any of
these states are distributed across the members of the group. The relevant
sense of distribution here, we shall now argue, is that of emergence1, or
organization-dependence.
As a group-level psychological property, consider a three-man team with
an established TMS for assembling a radio, a mixed body of partly declarative, partly procedural memory about a complex task that no team member
knows how to perform individually. For instance, imagine that member A
knows how to insert all the mechanical components into the circuit board,
B knows how to handle the electronic components, and C knows how to
connect each component to all the others in the proper manner. Because of
their differentiated expertise, condition IS fails. It might be argued that each
expert could in principle be replaced by hiring and training an individual
Corradini and O'Connor 1st pages.indd 95
T&F Proofs: Not For Distribution
1/27/2010 1:38:41 PM
96
Georg Theiner and Timothy O’Connor
taken from “a domain of relevantly similar parts”. However, as Wimsatt
(1986: 262) has pointed out in a related context, the relevant equivalence
class of parts must be characterized in terms of the intrinsic properties
which the substituted parts have regardless of their organizational arrangement. By defi nition, this excludes the differentiation of expertise which is
imposed socially by a division of labor. Condition QS fails, because taking
out enough members who possess critical but unshared knowledge would
effectively lesion the TMS and drastically reduce group performance. Since
the TMS of groups which have been trained together markedly differs
from the TMS of groups whose members are trained individually (and then
put together), condition DR is violated. Finally, conditions CI fails, since
members’ awareness of how expertise is distributed affects their individual
likelihood of acquiring, recalling, and communicating memory items pertaining to specific categories of information.
The collective cognitive activities of teams with a TMS are not emergent2 to the same degree as emergent1. To see that, let us recall that the
collections of simple agents in physics-based models of collective behavior merely perform pre-specified jobs from their limited local perspective,
but without being aware of any collective goals and purposes. Our team
members, on the other hand, actively collaborate in the sense that their
behavior is actively structured by their awareness that there is a collective task to be accomplished. This awareness introduces an extra layer of
higher-order cognitive requirements on the part of individuals which is not
directly related to the instrumental knowledge about their subtask, but
concerns the need to coordinate their individual contributions with each
other. For instance, individual team members must remember each other’s
expertise and trustworthiness to offer suggestions and criticisms of each
others’ work, and represent complex hierarchical plans so they can communicate about how to integrate their individual contributions into the
collective work flow. In short, agents must be capable of observing and representing complex global aspects of social structure—a cognitive process
which Castelfranchi (1998) has aptly termed immergence. Relative to the
rich immergent knowledge held by individual members, the properties of a
TMS are not very emergent 2 .
What now remains to be shown is that this realization relation satisfies
the criteria for emergence3. Fodor (1974, 1989, 1997) has argued that functional higher-level properties cannot be reduced to the disjunction of their
actual and possible lower-level realizers, because the two are not nomologically coextensive. The gist of his argument is that a metaphysically
“gerrymandered” disjunction of natural kinds is not itself a natural kind,
and thus cannot equally figure in the expression of genuine causal laws.14
Fodor’s argument, if sound, generalizes to the expression of lawful regularities about groups that are couched in terms of their development of a TMS.
First, there do not seem to be any constraints specifiable within individual
psychology that would make any particular memory states nomologically
Corradini and O'Connor 1st pages.indd 96
T&F Proofs: Not For Distribution
1/27/2010 1:38:41 PM
The Emergence of Group Cognition 97
necessary for the realization of a TMS at a group level. What makes a
person’s transactive memories constitutive for the operation of a TMS is
determined relationally by the social role she has been assigned to play in
the group context of a memory task. But for any given task, a group can
always in principle adopt one of indefi nitely many divisions of cognitive
labor that are sufficient to get the job done (even though not all of them
will be equally effective in practice). Transactive memories are thus good
candidates for socially manifested cognitive processes (i.e., cognitive processes of individuals that can be realized only insofar as those individuals
participate in groups of a certain kind) (Barnier et al., 2008; R. Wilson,
2004: ch. 8, 2005).15 Second, there are also no intrinsic constraints on the
kinds of social interactions which can serve as the realization of transactive memory procedures. For instance, groups are known to employ to a
number of different strategies to accomplish the essential tasks of transactive memory updating, information allocation, and retrieval coordination
(Wegner, 1995).16
3.3. Collaborative creativity in groups
Our third and fi nal example concerns the collaborative group processes
that go into the choreography of a contemporary dance performance. By
its very nature, the art of contemporary dance poses unique difficulties
but also opportunities for insight into the dynamics of creativity (K. Stevens et al., 2000). First, the medium of contemporary dance is the collective movement of bodies through time and space while they continuously
interact with one another. As an essentially multi-modal form of artistic
behavior, dance contains visual, motor, tactile, aural, kinaesthetic, cognitive, sensual, evocative, affective, spatial, temporal, dynamic, and rhythmic
elements that must all be coordinated in real time. Second, because of the
ephemeral nature of movement material (compared, e.g., to visual or plastic
arts), there are usually few preserved records of the processes which lead
to the development of the fi nal work. Third, an increasingly typical feature is the interactive nature of “dance making” in which choreographers
and dancers collaborate, often in a highly improvisational manner, in the
course of creating a dance.
Based on a careful analysis of annotated video recordings and journal
entries recorded over a period of roughly six months, C. Stevens et al. (2003)
have offered us a fascinating window into the complex psychological processes
that underlie the inception, development, and refinement of dance material—
processes to which they collectively refer to as choreographic cognition.17 A
significant part of their analysis is framed in terms of the Geneplore model of
creative cognition (Finke, Ward, & Smith, 1996), which assumes that creative
cognition involves two distinct phases: generation and exploration. During
an initial phase, generative processes such as memory retrieval, association,
synthesis, analogical transfer, and categorical reduction yield “pre-inventive”
Corradini and O'Connor 1st pages.indd 97
T&F Proofs: Not For Distribution
1/27/2010 1:38:41 PM
98
Georg Theiner and Timothy O’Connor
structures. In the second phase, the properties of these structures are then
explored, combined, discarded, modified, and re-interpreted in novel ways.
The resulting structures of these exploratory activities continue to be focused
or expanded, depending on the desired degree of refinement, and edited until
they reach their final form. A creative process typically involves multiple iterations of generation/exploration.
The most salient feature of their analysis is that the choreographic processes described by the Geneplore model of creative cognition do not exclusively reside inside the head of the individual choreographer. Instead, they
are co-constituted by the interactions between the choreographer and the
dance ensemble, the dancers and their bodies, and the artistic props and
recording devices on which they rely (Figure 5.2). The creative dynamics of
choreographic cognition reflects the transformations of these interactions
over time—a process that Sawyer (2003b, 2003c) has dubbed “collaborative emergence”. Manifestations of collaborative emergence receive a high
score on all three dimensions of emergence that we have distinguished.
First, the classification of the mental representations and operations
outlined in the Geneplore model are essentially substrate-neutral (emergent3). Hence it is consistent with their functional specification that they
are realized by a socially and technologically extended activity system that
stretches beyond the boundaries of the individual (Barnier et al., 2008;
Clark, 2003, 2008; Hutchins, 1995a; Sawyer & Greeno, 2009; Theiner,
2008; R. Wilson & Clark, 2009). For instance, the composition of new
movement patterns by combining, intersecting, and merging individually
developed phrases can be seen as a manifestation of attribute finding. The
speculative experimentation of dancers with the book/spine paper sculpture—considered as a pre-inventive structure—corresponds to an instance
of functional inference. Choreographing a dynamic DNA-like helix pattern made up of five dancers in constant motion proved to be a particularly
complex task that required a great amount of hypothesis testing which consumed many hours of joint experimentation. A preliminary analysis of the
task was carried out on paper, with the help of a color braid and its visual
representation on paper. Later, a trial-and-error process was executed on
the dance floor, using colored tape to mark out the different strands of
movement (Stevens et al., 2003: 316–318).
Second, moving the relevant unit of choreographic analysis from the
individual to the group reveals the intricate ways in which the creation of
a dance performance is distributed (i.e., emergent1) along three principal
dimensions, each of which provides its own forms of “scaffolding” (Hollan et al., 2000; Sutton, 2006).18 Choreographic cognition is distributed in
space, insofar as bodily and environmental resources transform the nature
of the cognitive load hoisted upon biological brains; over time, insofar as
the outcomes of earlier stages of cognitive processing transform the task
demands during the later stages; and socially, insofar as membership in the
ensemble (as well as more temporary interactions between dyads and triads)
Corradini and O'Connor 1st pages.indd 98
T&F Proofs: Not For Distribution
1/27/2010 1:38:41 PM
The Emergence of Group Cognition 99
transforms the cognitive tasks faced by each individual. Consider how misguided it would be to analyze the creative dynamics of the choreographic
process by fi rst trying to understand the properties of people and artifacts
in isolation, and then stitching them together in a purely aggregative fashion. In the creation of Red Rain, the generation, exploration, selection, and
refi nement of dance material was achieved through all sorts of collaborative “entanglements”, including the discussion of texts, images, and cues
provided by the choreographer that are mapped into exploratory movement
patterns and subsequently adopted, modified, verbally paraphrased and critiqued by others; the interpersonal synchronization of bodily movements;
the perceptual spread of “contagious” movement patterns across dancers;
the development of shared kinesthetic memories; the playful appropriation
and integration of artistic props (e.g., beans, wax, a paper sculpture); or
the public viewing of video recordings made of improvised dance phrases
displayed at an earlier stage.
Third, since novelty is an essential mark of creativity, the inherent creativity of choreographic cognition implies a higher degree of emergence2
which appeared to be lacking in our previous two examples.19 At the beginning of the choreographic process, there is often little more than a few
vague images which a choreographer might bring to the table, but no representation of a fi xed plot, no sense of how these images can be combined
to construct a narrative which can be transformed into bodily movement,
no pre-formatted sequence of moves, and so on. Improvisation is a crucial
aspect of creative processes—one that is frequently sparked by collaborative
Figure 5.1 Phases of the choreographic development of dance material for Red
Rain, classified in terms of the Geneplore model of creative cognition (shown in
uppercase). A number of different phrases of movement were in development at any
given time. From C. Stevens et al., (2003: 312).
Corradini and O'Connor 1st pages.indd 99
T&F Proofs: Not For Distribution
1/27/2010 1:38:42 PM
100 Georg Theiner and Timothy O’Connor
interactions. For instance, during week 5, the choreographer introduced
an improvisation task to “perturb” habitual movement patterns that were
embodied in the dancers’ kinesthetic and muscular memories. This was
achieved by externalizing cognitive and motor control processes that would
usually run smoothly inside the sheath of the biological body into the social
environment—by letting other dancers dictate which and how the parts
of one’s body ought to be moved. Each dancer was forced to respond to
impromptu verbal cues issued by other dancers (e.g., “right elbow behind
back, shoulders tilting, left hand reaching”). The elicited movement patterns were recorded on video, reviewed by the choreographer, discussed
with the dancers, and later re-enacted by the dancers from video observations before some of them would eventually be incorporated into the dance
(C. Stevens et al., 2003: 304–305).
A fi nal point about the diachronic dimension of “collaborative emergence” is worth emphasizing. 20 Although we can retrospectively (at least
in principle) identify each participant’s contributions to the incremental
process of creating a new dance, many of its effects on the emerging 2 organization are not explicitly intended or planned as such by the time these
contributions are made. This is because the full cognitive significance of
“dance-making” actions and intentions frequently depends on the subsequent flow of activities, and may thus not be revealed until a much later
phase of choreographic cognition. For instance, some of the improvised
movement patterns produced in the fi rst couple of weeks (e.g., in response to
dripping blood or the pulsing in-and-out motif) acted as recurrent “seeds”
that inspired and framed choreographic processes at much later stages
before they assumed their fi nal shape (C. Stevens et al., 2003: 306–308).
4. OBJECTIONS AND REPLIES
Let us restate the ontological commitments of our analysis of group cognition. As we have emphasized from the outset, our account is contingent on
the plausibility of non-reductive physicalism, in particular as it has been
applied to the realm of the mental (Block, 1997; Davidson, 1970; Fodor,
1974, 1989; Horgan, 1993) and the social (Kincaid, 1997; Pettit, 1993;
Sawyer, 2002, 2003a). We claim that, on that assumption, it is likewise
plausible that groups can be the bearers of psychological properties which
are distinct from the psychological properties had by its members. Second,
we grant that group-level psychological facts are metaphysically determined
(“realized”) by the totality of individual-level psychological facts, together
with other, non-psychological facts about their social and material organization. At a minimum, this implies that any two groups which are composed
of the exact same members participating in all the same social interactions
cannot differ in their psychological properties—a relatively weak variety of
ontological dependence commonly known as global supervenience. Third,
Corradini and O'Connor 1st pages.indd 100
T&F Proofs: Not For Distribution
1/27/2010 1:38:42 PM
The Emergence of Group Cognition 101
the supervenience of group cognition on its lower-level realization is consistent with its emergence in each of the senses we have outlined—its organization-dependence, its unpredictability from the standpoint of individual
cognition, and its multiple realizability. In virtue of the latter, the relation
between group-cognitive properties and their lower-level realization must
be one of token-identity (or perhaps token-realization)21, but not type-identity in the stronger sense that is required for inter-theoretic reduction.
With these assumptions in place, we now consider two basic metaphysical objections to the very idea of group cognition.
4.1. Is group cognition epiphenomenal?
The fi rst objection concerns the causal efficacy of emergent psychological
properties that are instantiated by groups as a whole. The supervenience
of group cognition on its lower-level realization arguably implies what
we may call the causal completeness of the individual level. 22 By this, we
mean the claim that for every aspect of an individual’s behavior, there is a
sufficient cause which refers only to properties of that individual and her
social interactions, but does not take into account any psychological or
non-psychological (e.g., behavioral) properties of the entire group to which
that individual belongs. Suppose further that we rule out an individual’s
behavior being systematically overdetermined by both individual- and
group-level causes. Then it appears that there is no real causal work for
the psychological properties of groups to do, because any influence it could
exercise on individuals is effectively “screened off” by its lower-level realizers. Does this show that the phenomenon of group cognition—even if it
is real—is epiphenomenal?
In response, let us observe that this objection is very similar to the socalled “causal exclusion” problem in the philosophy of mind, where it has
been invoked to demonstrate the causal irrelevance of mental properties
vis-à-vis their physical realizers (Kim, 1989, 1992, 1998; Malcolm, 1968).
An important similarity is the portrayal of the relationship between higher-level properties and their lower-level realizers as causal competitors in
the production of behavior. This assumption requires that both properties figure in causal explanations of one and the same tokens of behavior.
However, this is not always the case. For instance, we attribute a TMS to
a group in order to explain how the group performs as a whole (e.g., how
accurately it assembles a radio), whereas we refer to properties of individuals (including their opportunities for social interaction) to explain how
they perform as parts of the group. If we can conceive of individual- and
group-level psychological properties as links of two separate causal chains
influencing the behavior of entities at different levels of composition, and
if, further, these chains do not stand in a zero-sum competition, the present
form of the objection does not get off the ground.
Corradini and O'Connor 1st pages.indd 101
T&F Proofs: Not For Distribution
1/27/2010 1:38:42 PM
102 Georg Theiner and Timothy O’Connor
However, we can further press the objection by reflecting on the fact that
group behavior itself is a social (albeit non-psychological) property which
is realized by the psychological and behavioral properties of individuals,
together with their modes of social interaction. What the causal completeness of the individual level implies, then, is that there is in principle a complete causal account of this collective state of affairs which does not refer
to the cognitive properties Mg of groups, but is couched entirely in terms
of the lower-level realization of Mg. This follows from the (here presumed)
fact that the causal powers associated with Mg are fully determined by
the causal powers of its lower-level realization. Therefore, one might still
conclude that Mg cannot make a non-redundant causal impact on group
behavior (Kim, 1998, 2005; O’Connor & Churchill, Forthcoming).
A familiar theme in response to this objection has been to argue that
the inter-level relationship between mental properties and their physical
realization is not one of rivalry, but of compatibility (see, e.g., Block, 2003;
Horgan, 1993; Jackson & Pettit, 1990; Kim, 1984; Shoemaker, 2001,
2007). There are several ways one might seek to cash out this idea.
One way is to stress that the metaphysical connection between mental
properties and their physical realizers is sufficiently intimate so that the former “inherit” the causal powers of the latter, rather than being excluded by
them. Insofar as mental properties exercise their causal influence through
their physical realizers, it is claimed, the charge of overdetermination is
thereby avoided. Taking this line further, one can distinguish the causal
relevance of higher-level properties from the causal productivity of the
physical mechanisms by means of which the former are realized.23 Such a
strategy can be extended to accommodate the causal relevance of groupcognitive properties. For instance, consider the causal impact of a TMS on
group performance in terms of Jackson and Pettit’s (1990) program model
of causal relevance. According to this model, the occurrence of a higherlevel property “programs for” a certain same-level effect by ensuring the
presence of suitable lower-level realizers which bring about the specified
outcome.24 In the case of TMS, we can grant that the mechanism in virtue
of which a TMS is causally relevant for explaining the performance of a
group involves the appropriate cognitive abilities, motivations, and opportunities for social interaction at the level of individuals.
A second, related response to the exclusion worry appeals to counterfactual dependence patterns in order to ground the causal relevance of
higher-level event-types (Horgan, 1993; LePore & Loewer, 1989; Loewer,
2002; McLaughlin, 1989). For instance, Horgan (1993) argues that a single
event-token can be causally relevant on more than one level, in virtue of
falling under multiple event-types which are not nomologically coextensive. Assuming that something like counterfactual dependency suffices for
causation or causal relevance, properties at multiple levels could thus each
be causal because they all support different counterfactual dependence patterns among events. Now consider the claim that if a group were to develop
Corradini and O'Connor 1st pages.indd 102
T&F Proofs: Not For Distribution
1/27/2010 1:38:42 PM
The Emergence of Group Cognition 103
a TMS, it would be able to assemble a radio accurately. Is this true, or is
the causal relevance of TMS preempted by the occurrence of its lowerlevel realizer? Let us apply the criteria for preemption suggested by Loewer
(2002). From the causal completeness of the individual level, it follows that
the radio assembly would have been equally accurate if it were somehow
performed by a member-by-member duplicate of the group with the same
social organization S, but without a TMS.25 But now consider a situation
in which a TMS develops, but without its actual lower-level realization.
Assuming that the properties of a TMS are multiply realizable, the closest possible world in which this can happen is one in which the functions
of the TMS are performed by a group with a slightly different social (and
corresponding individual-psychological) configuration S*. Since it remains
true that a group whose TMS is realized by S* can assemble the radio accurately, it follows that S does not preempt the causal relevance of TMS. (See
Loewer, 2002, for further discussion.)
Now, it may well be the case that neither of these proposed strategies for
harmonizing the causal completeness of physics with mental-physical realization is entirely neutral with respect to theories of the nature of causation.
O’Connor and Churchill (Forthcoming) argue that harmonization fails on
a non-reductive production account of particular. If that is correct, then
our guiding assumption carries with it an implicit rejection of this metaphysical theory. (Again, one who is attracted to the non-reductive physicalist account of human mentality has a choice here between modus ponens or
modus tollens, a question on which we are neutral here.)
4.2. How robust are group cognizers?
The second objection to the thesis of emergent group cognitive states and
processes that we consider here concerns the metaphysical unity of groups.
Individual biological subjects possess a robust systemic unity defi ned in
terms of the biological persistence of the body and/or its most vital component, the brain. This unity has spatial, temporal, and functional aspects.
Owing to these features, its persistence through time (on the relevant time
scale) is reasonably well defi ned in biological terms. The objection’s premise is that nothing like this is feasible for an attempted account of the persistence of groups having allegedly emergent cognitive states, and it concludes
that there simply are not any persisting groups of the sort that could serve
as the subjects of those states.
This objection raises a large issue that we cannot fully explore here.
However, we can briefly make some points that go a substantial ways, we
think, toward challenging the suggested starkness of the contrast between
individual and group cognizers. To begin with, we want to draw attention
to a similar debate that is currently raging over the “extended mind” thesis (Clark, 2003, 2008; Clark & Chalmers, 1998; R. Wilson, 2004). 26 In
their original statement of this thesis, Clark and Chalmers (1998) suggested
Corradini and O'Connor 1st pages.indd 103
T&F Proofs: Not For Distribution
1/27/2010 1:38:42 PM
104
Georg Theiner and Timothy O’Connor
a number of ‘coupling conditions’ which the causal intercourse between
a biological organism and capacity-enhancing bio-external artifacts (e.g.,
notebook, iPhone, or neural implants) ought to satisfy in order to constitute a unified agent’s extended cognitive apparatus. Their conditions
require that the external resource should be reliably available and typically
deployed when confronted with the task at hand, that any relevant information contained in the resource should be easily accessible, and that any
information retrieved from the external device should be more or less automatically endorsed, and treated as a trustworthy source. In response to the
presently explored objection, we maintain that similar principles of systemindividuation are at least equally convincing if they apply to the cognitively
significant interactions among people (see also Tollefsen, 2006).
We consider two sorts of cases in which groups can be collectively coupled, to be understood as two poles in a continuum from the fleeting to the
more permanent. In the fi rst sort, ‘disbanding’ happens regularly, insofar as
cognitive activity does not more or less continuously persist, but is instead
sharply episodic. Examples would be work assembly lines, dance troupes,
and philosophy departments. Individuals assembled in one of these groups
function at particular times as a collective cognitive system and then go
their separate ways, no longer causally coupled with one another toward
a common task. Even so, this regular disbanding and re-forming does not
ruin the integrity of the system over time as long as the functional organization remains invariant across such episodes, such that the collective plausibly may continue to persist even though individual members don’t persist.
There will of course be borderline cases of more radical change where it is
quite unclear whether we are dealing with the very same group, but analogous problems beset accounts of the persistence of thinking organisms.
(The strong, physicalism-denying emergentist may well claim an advantage
here, since the emergence of ontologically basic properties seems to be an
all or nothing affair. But we are proceeding on the premise that this view is
off the table.) Granted, the existence of certain kinds of intermittent group
cognizers, unlike individual cognizers, is tied down to time-on-(cognitive-)
task. But it is not obvious that this difference has the metaphysical import
that the objection assumes.
On the other side of the spectrum, there is a second sort of group cognizers whose persistence is continuous, because disbanding would seriously limit, if not relinquish, the ability of its parts to function in isolation.
Examples of this sort are tightly integrated, long-standing social groups
whose individual members (and their sub-assemblies) have come to behave
as a kind of collective “super-organism” (D. S. Wilson, 2002; D. S. Wilson,
van Vugt, & O’Gorman, 2008; D. S. Wilson & E. O. Wilson, 2007). In
biology, the existence of such “major evolutionary transitions” (Maynard
Smith & Szathmary, 1995) was originally posited to explain the formation of eukaryotic cells as highly interdependent symbiotic associations of
prokaryotic (bacterial) cells. But the idea was later generalized to encompass
Corradini and O'Connor 1st pages.indd 104
T&F Proofs: Not For Distribution
1/27/2010 1:38:42 PM
The Emergence of Group Cognition 105
to the formation of chromosomes, multi-cellular organisms, social insect
colonies, and the evolution of human sociality in our ancestral environments. In each of these rare but momentous transitions, the cooperation of
entities at a lower level has strongly beneficial effects for their arrangement
as a whole, due in large part to the differentiation of functions. Hence a
major evolutionary transition can occur if between-group selection outweighs within-group selection. This requires the existence of lower-level
mechanisms that continually suppress competition among selfish individual
units, and thus enable the collective to overcome the problem of “free riders” (Sober & D. S. Wilson, 1998). For human groups, especially smallscale human societies that have historically dominated the evolution of
sociality in our species, this job is performed by fairly strong mechanisms
of social control. These are believed to include a variety of biological and
cultural co-adaptations such as religion (D. S. Wilson, 2002), social emotions like anger and guilt (Haidt, 2007), practices of shaming and gossip
(Richerson & Boyd, 2005), but also the joy of synchronized movement in
song and dance (Haidt, Seder, & Kesebir, 2008). In sum, emergent1 social
systems whose members are deeply interdependent for their physical, cognitive, as well as emotional functioning as individuals are also the most likely
candidates to act as maximally robust group cognizers.
5. CONCLUSION
Can groups think? In this paper, we have probed into a wide range of contemporary frameworks that seem to be committed to giving an affi rmative
answer to this question. A common methodological thrust of these research
programs is to overcome the strong individualist bias in psychology and
cognitive science, and to give a wider berth to environmental (social, material, and cultural) factors in shaping and participating in cognitive processes
(see, e.g., the papers in Robbins & Aydede, 2009). As philosophers, our primary goal has been to offer an ontological reconstruction of what it would
mean for a group of people interacting with one another to have emergent
cognitive properties. Based on the predominantly functional understanding
of cognition that is proffered in the theoretical frameworks we examined,
we have outlined three different features that emergence can plausibly be
taken to signify in the context of group cognition: its dependence on the
social organization and interactions among individuals; the manifestation
of unintended cognitive effects at a group level; and the multiple realizability of cognitive properties by different types of group structures. From
a metaphysician’s bird’s-eye view, all of these features are compatible with
various brands of non-reductive physicalism. Hence our advocacy of the
idea that groups can think is conditional twice over: fi rst, on the explanatory scope of the research frameworks we have discussed; second, on the
ontological coherence of non-reductive physicalism as a general view of the
Corradini and O'Connor 1st pages.indd 105
T&F Proofs: Not For Distribution
1/27/2010 1:38:42 PM
106 Georg Theiner and Timothy O’Connor
mental. Accordingly, our updated portrayal of emergent group cognition
departs from metaphysically stronger versions of the Group Mind Thesis in
several crucial respects.
First, during the heydays of the Group Mind Thesis, the idea of a “collective psychology” was often used to emphasize the essential like-mindedness of people in groups—”the mass movements of a crowd, the majority
decisions of the electorate, or the sweetly homogeneous mindlessness of
people in love” (Wegner, 1986: 206). While we certainly agree that the
social alignment of shared concepts, attitudes, and values can be important
prerequisites of group cognition, it is rather the integration of diverse but
complementary contributions that directly underpins the emergent cognitive properties of groups.
Second, the dilemma that group minds are either “nothing but” collections of individual minds or doomed to inhabit preternatural realms (“telepathy”) rests on an inadequate understanding of interactional complexity.
Based on the suggested reading of emergence1 as organization-dependence,
there is no reason to think that group-level properties must always have a
purely aggregative decomposition relative to which we can neglect the social
interactions and communication processes by which individuals coordinate
their behavior. Moreover, if group-level cognitive properties are multiply
realizable, the non-reductive physicalist can grant that all cognitive facts
about a group supervene globally on the totality of individual-level psychological facts about its members, plus other, non-psychological facts about
their social organization (R. Wilson, 2004; cf. Section 1 in this chapter).
This is because the global supervenience of group cognition on its total
physical realization (Shoemaker, 2007) is consistent with its emergence in
all of the three senses we have sketched.
Third, group cognition is here taken to occur without any dubious sort
of collective consciousness. Group cognitive states and processes of the sort
suggested by contemporary empirical theories do not entail that there is
a conscious, self-aware subject of them. As we emphasized in the beginning, we favor the ‘big tent’ approach to cognition that is reflected in much
of recent cognitive science. How we should think about phenomenal consciousness in particular is quite unsettled. But it seems clear that none of the
group cognition–friendly theories give reason to posit collective consciousness on any of the most promising philosophical accounts of the nature and
function of consciousness (whether physicalist or dualist).
Keeping this point in mind, it is worth mentioning a possible asymmetry
between the “extended mind” thesis (Clark & Chalmers, 1998) and the
kind of “group mind” thesis considered here. One might argue that a move
to the group mind thesis involves a riskier generalization of the strategy
underlying the case for extended individual cognition, precisely because
the former (but not the latter) invokes the existence of a subject who is
not capable of having phenomenal consciousness. This suggestion, which
is due to David Chalmers (personal communication), is most convincing if
Corradini and O'Connor 1st pages.indd 106
T&F Proofs: Not For Distribution
1/27/2010 1:38:42 PM
The Emergence of Group Cognition 107
one accepts the following two claims: fi rst, that the presence of or potential
for conscious awareness is the single most uncontroversial—if not indubitable—criterion for the existence of a mind; and second, that the conscious
mental states of such a subject, contrary to its non-conscious cognitive
states and processes, are not likewise extended. For instance, it may turn
out that the physical basis of consciousness requires certain forms of highbandwidth signal processing and fi ne temporal coordination that are (at
least currently) not supported by organism/environment-interactions, nor
by interactions between people (for such hybrid views, see Chalmers, 2008;
Clark, Submitted).
If both these claims were accepted, the “group mind” thesis, at least
where it does not involve implausible posits of group consciousness, would
be a nonstarter. It is thus not surprising that Chalmers, a dualist about
phenomenal consciousness, should be attracted to the consciousness criterion for genuine mentality. But it is not an equally plausible position for
a physicalist to take. From a physicalist perspective, conscious states are
not intrinsically distinctive (as on dualism), but are merely a particular
variety of complex, physically realized mental states. On many physicalist views, consciousness is ultimately understood as some sort of representational capacity restricted to sophisticated, highly complex cognitive
systems—something characteristic of particularly advanced cognitive systems, rather than a necessary condition for any cognition to take place. In
our reconstruction, we have already granted that the repertoire of cognitive
capacities displayed by groups need not—and typically does not—live up to
the full-fledged mentality of individual human beings. Consistent with an
incrementalist, ‘big tent’ approach to cognitive complexity, the physicalist
should thus be quite comfortable with admitting the existence of collective
cognitive systems, while remaining agnostic about group minds as indicated by the consciousness criterion.
NOTES
1. The research of the fi rst author has been supported by an Izaak Walton Killam Post-doctoral Fellowship.
2. For historical overviews, see Wegner (1986), Wegner, Giuliano, and Hertel
(1985), R. Wilson (2004: ch. 11).
3. See, e.g., Chomsky (1980) and Thagard (1996) for discussion.
4. An application of Wimsatt’s conception of emergence1 to the idea of group
cognition (understood as socially distributed cognition) is also offered by
Poirier and Chicoisne (2006).
5. As Wimsatt (1994: 8n.) points out, the relevant notion of identity that his
conception of ontological reduction implies falls somewhere between tokenidentity (which he considers as too weak a requirement for reduction) and
general type-identity (which he considers as too strong a requirement for
reduction) between higher-level properties and their lower-level realizers. We
shall get to the putative multiple realizability of higher-level types (kinds,
Corradini and O'Connor 1st pages.indd 107
T&F Proofs: Not For Distribution
1/27/2010 1:38:42 PM
108 Georg Theiner and Timothy O’Connor
6.
7.
8.
9.
10.
11.
12.
13.
14.
properties) as a potential obstacle for ontological type-reduction in Section
2.2.3.
Our notion of emergence2 is related to several other conceptions of emergence that have been discussed in the literature, in particular Chalmers’s
(2006) notion of “weak emergence”, Clark’s (2001: 114) notion of emergence
as “unprogrammed functionality”, as well as the spectrum of weaker vs.
stronger versions of “diachronic emergence” discussed in Rueger (2000) and
Stephan (2006).
Wimsatt (1981, 1986, 1994) has drawn attention to the fact that the multiple
realizability of macro-properties is a rather natural consequence of functional
redundancy in the compositional organization of complex systems, and not
incompatible with mechanistic explanations of their behavior in terms of its
parts and their interactions. As Wimsatt (1981) points out, redundancy is an
important design feature of many complex systems, such as built-in hardware redundancy in computers, excess capacities of cells in organisms, and
bilaterally symmetric redundant organs in animals. Redundancy ensures a
limited form of “sub-aggregativity” between subsets of actual parts (1986).
If we further consider that Wimsatt’s condition IS also involves the counterfactual replacement with possible parts taken “from a relevantly similar
domain”, the modal implications of multiple realizability become apparent.
See, e.g., Cicourel (1990), Hinsz et al. (1997), Larsen and Christensen (1993),
Mohammed and Dumville (2001), Propp (1999), Stasser (1999), Wegner et
al. (1985).
As Hinsz et al. (1997: 44n.) point out, their model does not necessarily depict
a blueprint of the cognitive architecture by which information is actually
processed (in individuals or in groups), which is likely to be less sequential and more highly interrelated than the model suggests. But this does not
diminish its analytic value for identifying various factors and mechanisms
which underlie the collective performance of cognitive tasks.
Working on human vision, Marr proposed to split the task of explaining how
a system (e.g., a cash register or a brain) processes information into three levels. On Marr’s level-1, the goal is to give a functional analysis of the behavior
to be performed. This requires that we pin down the precise input-output
function of the task at hand and provide a procedural characterization of
the subtasks which the system has to carry out. Marr’s level-2 is concerned
with describing how the relevant inputs and outputs are represented, and
which algorithms are used to compute the required mappings. Finally, level-3
concerns the implementation of these computational processes in a physical
substrate.
See Moreland (1999) for an overview.
These fi ndings are consistent with research on learning at the individual level,
which suggests that experience with only one task may not be sufficient for
a subject to detect the underlying analogies between superficially dissimilar
problems (Gentner et al., 2003). Further analysis by Lewis et al. revealed a
significant interactive effect between group type and expertise stability. An
intact prior TMS was most beneficial for learning transfer in groups whose
members had been reassigned but kept their expertise specialization. On the
other hand, an intact prior TMS was detrimental for groups when expertise
stability across tasks was low—either because members had been reassigned
or the groups abandoned their initial distribution of expertise (see also Lewis
et al., 2007).
See Schmitt (2003b) for an overview of this debate.
Fodor’s argument against reduction has been heavily scrutinized (Kim, 1989,
1992; Polger, 2004). We do not wish to adjudicate the current state of this
Corradini and O'Connor 1st pages.indd 108
T&F Proofs: Not For Distribution
1/27/2010 1:38:42 PM
The Emergence of Group Cognition 109
15.
16.
17.
18.
19.
20.
21.
22.
23.
debate here, since our reasoning is conditional upon the viability of the nonreductive physicalist’s gambit. That perspective’s chief motivation is precisely
the one given by Fodor. As applied to the domain of the social, Ruben (1985:
ch. 3) has argued that the argument from multiple realizability is ultimately
more compelling for what he calls “variable” social properties (e.g., being a
mayor) than it is for mental properties. Since the manifestation of these social
properties is partly determined by social conventions, there are even fewer
lawful constraints on the class of mental and/or physical properties which
are sufficient for their realization. Sawyer (2002, 2003a) has leaned heavily on Fodor’s argument in his defense of the causal-explanatory autonomy
of social properties vis-à-vis individuals and their interactions, proposing a
theory of social emergence3 that he calls non-reductive individualism.
An implication of this “active” kind of externalism is that the individualbound portions of these interactions are not metaphysically sufficient for
socially manifested cognitive processes of the requisite sort to occur (R. Wilson, 2001b, 2004).
Wegner (1986: 190–191) gives a particularly nice example of transactive
retrieval coordination that involves both intrapersonal and interpersonal
components and is distributed over internal and external storage spaces: “A
client asks the boss for information, for instance, that the boss has no idea
about—but thinks the secretary may know. [ . . . ] it may be that the secretary
fails to fi nd the item internally, perhaps fi nding instead some other information related to the label. As it turns out, perhaps the secretary recalls that the
boss asked for this information at another time and reports to her boss: ‘I
gave that to you last Tuesday’. The boss may now be able to use the new lead
to retrieve some item internally or externally. He might now recall that the
information he asked for Tuesday was in the top desk drawer in a fi le labeled
‘THIS IS IT’.” Surely there is nothing nomologically necessary about transactive retrieval coordination happening in this idiosyncratic way.
The study describes the choreographic realization of dance work carried out
during 1999–2000 that involved choreographer Anna Smith and eight professional dancers. It led to the production of Red Rain.
While the focus of our paper has been the social dimension of cognitive
extension, we believe that the gist of our analysis of distribution as a form
of emergence1 carries over to all three dimensions of distributed cognitive
systems.
For present purposes, we rely on a fairly broad conception of creativity
defi ned as “a socially recognized achievement in which there are novel products” (Barron & Harrington, 1981: 442).
This point is forcefully raised by Sawyer (2003b: 18) as an argument for the
irreducibility of “collaborative emergence” to the actions and intentions of
individual actors. For further discussion, see Sawyer (2003c).
For discussion of the merits of token-realization, see Shoemaker (2007) and
Pereboom (2002).
For a discussion of closure principles with respect to the physical properties
and their relationship to mental properties, see, e.g., Kim (1998, 2005), Lowe
(1993), Melnyk (2003), and O’Connor and Churchill (Forthcoming). For a
discussion of the causal completeness of the individual level with respect
to the social, see particularly Kincaid (1997), Pettit (1993), and Sawyer
(2003a).
This requires that we depart from the “homogeneity assumption” (Crane,
1995) that mental and physical causation are theoretically on a par. Notice
that what counts as “higher” and “lower” levels of realization in a given
context is itself dependent on the phenomenon that we seek to explain.
Corradini and O'Connor 1st pages.indd 109
T&F Proofs: Not For Distribution
1/27/2010 1:38:42 PM
110
Georg Theiner and Timothy O’Connor
24. Jackson and Pettit’s program model is very similar in spirit to Kim’s (1984)
notion of supervenient causation. See Menzies (2007) for a recent discussion.
25. Whether this situation is even metaphysically possible at all depends on the
exact sense in which we take the psychological states of groups to supervene
on their lower-level realizers.
26. For a critical evaluation of this thesis, see Adams and Aizawa (2008) and
Rupert (2009), as well as the responses offered on behalf of the “extended
mind” by Clark (2008, In press), R. Wilson (In press), and R. Wilson and
Clark (2009).
REFERENCES
Adams, F., & Aizawa, K. (2008). The Bounds of Cognition. Oxford: Blackwell.
Alexander, J. C., & Giesen, B. (1987). From reduction to linkage: The long view of
the micro-macro link. In J. C. Alexander, B. Giesen, R. Munch, & N. J. Smelser
(Eds.), The Micro-Macro Link (pp. 1–42). Berkeley: University of California
Press.
Argote, L. (1999). Organizational Learning: Creating, Retaining and Transferring
Knowledge. Norwell, MA: Kluwer.
Bak, P. (1996). How Nature Works: The Science of Self-Organized Criticality.
Cambridge, MA: MIT Press.
Ball, P. (1998). The Self-Made Tapestry: Pattern Formation in Nature. Oxford:
Oxford University Press.
. (2004). Critical Mass: How One Thing Leads to Another. New York: Farrar, Straus & Giroux.
Barabási, A.-L., & Albert, R. (1999). Emergence of scaling in random networks.
Science, 286, 509–512.
Barnier, A. J., Sutton, J., Harris, C. B., & Wilson, R. A. (2008). A conceptual
and empirical framework for the social distribution of cognition: The case of
memory. Cognitive Systems Research 9(1), 33–51.
Barron, F., & Harrington, D. M. (1981). Creativity, intelligence, and personality.
Annual Review of Psychology, 32, 439–476.
Bechtel, W. (2006). Discovering Cell Mechanisms: The Creation of Modern Cell
Biology. Cambridge: Cambridge University Press.
Bechtel, W., & Abrahamsen, A. (2002). Connectionism and the Mind: Parallel
Processing, Dynamics, and Evolution in Networks (2nd ed.). Oxford: Basil
Blackwell.
Bechtel, W., & Richardson, R. C. (1993). Discovering Complexity: Decomposition and Localization as Strategies in Scientifi c Research. Princeton, NJ: Princeton University Press.
Block, N. (1978). Troubles with functionalism. In W. Savage (Ed.), Minnesota
Studies in the Philosophy of Science (Vol. IX, pp. 261–325). Minneapolis: University of Minnesota Press.
. (1980). Introduction: What is functionalism? In N. Block (Ed.), Readings in
Philosophy of Psychology (Vol. 1). Cambridge, MA: Harvard University Press.
. (1995). On a confusion about a function of consciousness. Behavioral and
Brain Sciences, 18, 227–272.
. (1996). What is functionalism? In The Encyclopaedia of Philosophy Supplement. New York: MacMillan Reference Books.
. (1997). Anti-reductionism slaps back. In J. Tomberlin (Ed.), Philosophical
Perspectives 11: Mind, Causation, and World. Boston: Blackwell.
Corradini and O'Connor 1st pages.indd 110
T&F Proofs: Not For Distribution
1/27/2010 1:38:42 PM
The Emergence of Group Cognition 111
. (2003). Do causal powers drain away? Philosophy and Phenomenological
Research, 67(1), 133–150.
Blumer, H. (1939). Collective behavior. In R. E. Park (Ed.), An Outline of the Principles of Sociology (pp. 219–280). New York: Barnes & Noble.
Bonabeau, E., Dorigo, M., & Theraulaz, G. (1999). Swarm Intelligence: From
Natural to Artificial Systems. New York: Oxford University Press.
Bratman, M. (1993). Shared intention. Ethics, 104, 97–113.
. (1997). I intend that we J. In R. Tuomela & G. Holmstrom-Hintikka (Eds.),
Contemporary Action Theory (Vol. 2, pp. 49–63). Dordrecht: Kluwer.
Burge, T. (2000). Reason and the fi rst person. In C. Wright, B. Smith, & C. Macdonald (Eds.), Knowing Our Own Minds. Oxford: Oxford University Press.
Burke, P. (1989). History as social memory. In T. Butler (Ed.), Memory: History,
Culture, and the Mind. Oxford: Blackwell.
Castelfranchi, C. (1998). Simulating with cognitive agents: The importance of cognitive emergence. In J. Sichman, R. Conte, & N. Gilbert (Eds.), Multi-Agent
Systems and Agent-Based Simulation (pp. 26–44). Berlin: Springer.
Chadderdon, G. L. (2008). Assessing machine volition: An ordinal scale for rating
artificial and natural systems. Adaptive Behavior, 16, 246–263.
Chalmers, D. (1996). The Conscious Mind: In Search of a Fundamental Theory.
New York: Oxford University Press.
. (2006). Strong and weak emergence. In P. Clayton & P. Davies (Eds.),
The Re-emergence of Emergence: The Emergentist Hypothesis from Science to
Religion (pp. 244–256). Oxford: Oxford University Press.
. (2008). Foreword to A. Clark, Supersizing the Mind: Embodiment, Action,
and Cognitive Extension (pp. vii–xiv). New York: Oxford University Press.
Chomsky, N. (1980). Rules and Representations. Oxford: Blackwell.
Cicourel, A. V. (1990). The integration of distributed knowledge in collaborative
medical diagnosis. In J. R. Galegher, R. E. Kraut, & C. Egido (Eds.), Intellectual Teamwork: Social and Technological Foundations of Cooperative Work.
Hillsdale, NJ: L. Erlbaum Associates.
Clark, A. (2003). Natural-Born Cyborgs: Minds, Technologies, and the Future of
Human Intelligence. New York: Oxford University Press.
. (2008). Supersizing the Mind: Embodiment, Action, and Cognitive Extension. New York: Oxford University Press.
. (In press). Coupling, constitution, and the cognitive kind: A reply to Adams
and Aizawa. In R. Menary (Ed.), The Extended Mind. Cambridge, MA: MIT
Press.
. (Submitted). Spreading the joy? Why the machinery of consciousness is
(probably) still in the head.
Clark, A., & Chalmers, D. (1998). The Extended Mind. Analysis, 58(1), 7–19.
Couzin, I. D. (2007). Collective minds. Nature, 455, 715.
. (2009). Collective cognition in animal groups. Trends in Cognitive Sciences, 13(1), 36–43.
Crane, T. (1995). The mental causation debate. Proceedings of the Aristotelian
Society, 69, 211–236.
Davidson, D. (1970). Mental events. In L. Foster & J. W. Swanson (Eds.), Experience and Theory. London: Duckworth.
Dennett, D. (1996). Kinds of Minds: Toward an Understanding of Consciousness.
New York: Basic Books.
Edwards, S. C., & Pratt, S. C. (2009). Rationality in collective decision-making by
ant colonies. Proceedings of the Royal Society of London, B, 276, 3655–3661.
Epstein, J. M., & Axtell, R. (1996). Growing Artificial Societies: Social Science
from the Bottom Up. Cambridge, MA: MIT Press.
Corradini and O'Connor 1st pages.indd 111
T&F Proofs: Not For Distribution
1/27/2010 1:38:42 PM
112
Georg Theiner and Timothy O’Connor
Finke, R. A., Ward, T. B., & Smith, S. M. (1996). Creative Cognition: Theory,
Research, and Applications. Cambridge, MA: MIT Press.
Fodor, J. (1968). Psychological Explanation. New York: Random House.
. (1974). Special sciences (or: the disunity of science as a working hypothesis). Synthese: An International Journal for Epistemology, Methodology and
Philosophy of Science, 28, 97–115.
. (1989). Making mind matter more. Philosophical Topics, 67(1), 59–79.
. (1997). Special sciences: Still autonomous after all these years. Philosophical Perspectives, 11, 149–163.
Gentner, D., Loewenstein, J., & Thompson, L. (2003). Learning and transfer: A
general role for analogical encoding. Journal of Educational Psychology, 95(2),
393–408.
Giere, R. (2002). Scientific cognition as distributed cognition. In P. Carruthers,
S. P. Stich, & M. Siegal (Eds.), The Cognitive Basis of Science (pp. 285–299).
Cambridge: Cambridge University Press.
Giere, R., & Moffatt, B. (2003). Distributed cognition: Where the cognitive and
the social merge. Social Studies of Science, 33(2), 301–310.
Gilbert, M. (1989). On Social Facts. London: Routledge.
Gillett, C. (2003). The metaphysics of realization, multiple realizability and the
special sciences. Journal of Philosophy, 100, 591–603.
. (2006). Samuel Alexander’s emergentism: or, higher causation for physicalists. 153, 261–296.
Goldstone, R., & Janssen, M. A. (2005). Computational models of collective
behavior. Trends in Cognitive Science, 9, 424–430.
Gureckis, T. M., & Goldstone, R. (2006). Thinking in groups. Pragmatics & Cognition, 14(2), 293–311.
Haidt, J. (2007). The new synthesis in moral psychology. Science, 316, 998–1002.
Haidt, J., Seder, P., & Kesebir, S. (2008). Hive psychology, happiness, and public
policy. Journal of Legal Studies, 37, 133–156.
Hardin, G. (1968). The tragedy of the commons. Science, 162, 1243–1248.
Hayek, F. A. v. (1942). Scientism and the study of society, Part 1. Economica, 9,
267–291.
. (1944). Scientism and the study of society, Part 3. Economica, 11, 27–37.
Hempel, C. G. (1965). Aspects of Scientifi c Explanation and Other Essays in the
Philosophy of Science. New York: The Free Press.
Hinsz, V. B., Tindale, R. S., & Vollrath, D. A. (1997). The emerging conceptualization of groups as information processors. Psychological Bulletin, 121(1),
43–64.
Hollan, J., Hutchins, E., & Kirsh, D. (2000). Distributed cognition: Toward a new
foundation for human-computer interaction research. ACM Transactions on
Computer-Human Interaction, Special issue on human-computer interaction
in the new millennium, Part 2, 7(2), 174–196.
Holland, J. H. (1975). Adaptation in Natural and Artificial Systems. Ann Arbor:
University of Michigan Press.
. (1995). Hidden Order: How Adaptation Builds Complexity. Reading,
MA: Addison-Wesley.
Hölldobler, B., & Wilson, E. O. (1990). The Ants. Cambridge, MA: Belknap.
Hollingshead, A. B. (1998). Communication, learning, and retrieval in transactive
memory systems. Journal of Experimental Social Psychology, 34, 432–442.
Horgan, T. (1993). Nonreductive materialism and the explanatory autonomy of
psychology. In S. Wagner & R. Warner (Eds.), Naturalism: A Critical Appraisal
(pp. 295–320). South Bend, IN: Notre Dame University Press.
Corradini and O'Connor 1st pages.indd 112
T&F Proofs: Not For Distribution
1/27/2010 1:38:42 PM
The Emergence of Group Cognition 113
Hurley, S. L. (1998). Vehicles, contents, conceptual structure, and externalism.
Analysis, 58, 1–6.
Hutchins, E. (1995a). Cognition in the Wild. Cambridge, MA: MIT Press.
. (1995b). How a cockpit remembers its speed. Cognitive Science, 19, 265–
288.
. (1991). The social organization of distributed cognition. In L. B. Resnick,
J. M. Levine, & S. D. Teasley (Eds.), Perspectives on Socially Shared Cognition
(pp. 283–307). Washington, DC: American Psychological Association.
Jackson, F., & Pettit, P. (1990). Program explanation: A general perspective. Analysis, 50, 107–117.
Jensen, T. R., & Toft, B. (1995). Graph Coloring Problems. New York: Wiley.
Jung, C. G. (1922). Collected Papers on Analytical Psychology. London: Bailliere,
Tindall, and Cox.
Kauffman, S. (1993). The Origins of Order: Self-Organization and Selection in
Evolution. New York: Oxford University Press.
Kearns, M., Suri, S., & Montfort, N. (2006). An experimental study of the coloring problem on human subject networks. Science, 313, 824–827.
Kennedy, J., & Eberhart, R. C. (2001). Swarm Intelligence. San Francisco: Morgan
Kaufmann/Academic Press.
Kim, J. (1984). Supervenience and supervenient causation. Southern Journal of
Philosophy Supplement, 22, 45–56.
. (1989). The myth of nonreductive physicalism. Proceedings and Addresses
of the American Philosophical Association, 63, 31–47.
. (1992). Multiple realization and the metaphysics of reduction. Philosophy
and Phenomenological Research, 52, 1–26.
. (1998). Mind in a Physical World. Cambridge, MA: MIT Press.
. (2005). Physicalism, Or Something Near Enough. Princeton, NJ: Princeton University Press.
Kincaid, H. (1997). Individualism and the Unity of Science. New York: Rowman
& Littlefield.
Lang, K., & Lang, G. (1961). Collective Dynamics. New York: Thomas Y. Crowell
Co.
Larson, J. R., & Christensen, C. (1993). Groups as problem-solving units: Toward
a new meaning of social cognition. British Journal of Social Psychology, 32(1),
5–30.
Laughlin, P. R. (1999). Collective induction: Twelve postulates. Organizational
Behavior and Human Decision Processes, 80, 50–69.
Le Bon, G. (1960). The Crowd. A Study of the Popular Mind. New York: Viking
Press.
Le Goff, J. (1992). History and Memory. New York: Columbia University Press.
LePore, E., & Loewer, B. M. (1989). More on making mind matter. Philosophical
Topics, 17(1), 175–191.
Lewis, D. (1972). Psychophysical and theoretical identifications. Australasian
Journal of Philosophy, 50, 249–258.
Lewis, K., Belliveau, M., Herndon, B., & Keller, J. (2007). Group cognition, membership change, and performance: Investigating the benefits and detriments
of collective knowledge. Organizational Behavior and Human Decision Processes, 103, 159–178.
Lewis, K., Lange, D., & Gillis, L. (2005). Transactive memory systems, learning,
and learning transfer. Organization Science, 16(6), 581–598.
Liang, D. W., Moreland, R. L., & Argote, L. (1995). Group versus individual training and group performance: The mediating role of transactive memory. Personality and Social Psychology Bulletin, 21, 384–393.
Corradini and O'Connor 1st pages.indd 113
T&F Proofs: Not For Distribution
1/27/2010 1:38:42 PM
114 Georg Theiner and Timothy O’Connor
List, C. (2008). Distributed cognition: A perspective from social choice theory. In
M. Albert, D. Schmidtchen, & S. Voigt (Eds.), Scientific Competition: Theory
and Policy. Tübingen: Mohr Siebeck.
Loewer, B. (2002). Comments on Jaegwon Kim’s ‘Mind and the Physical World’.
Philosophy and Phenomenological Research, 65(3), 655–662.
Lowe, E. J. (1993). The causal autonomy of the mental. Mind, 102, 629–644.
Lycan, W. G. (1987). Consciousness. Cambridge, MA: MIT Press.
Macy, M. W., & Willer, R. (2002). From factors to actors: Computational sociology and agent-based modeling. Annual Review of Sociology, 28(1), 143–166.
Malcolm, N. (1968). The conceivability of mechanism. The Philosophical Review,
77, 45–72.
Marks, M. A., Sabella, M. J., Burke, C. S., & Zaccaro, S. J. (2002). The impact
of cross-training on team effectiveness. Journal of Applied Psychology, 87(1),
3–13.
Marr, D. (1982). Vision. San Francisco: W. H. Freeman.
Maynard Smith, J., & Szathmary, E. (1995). The Major Transitions in Evolution.
Oxford: Oxford University Press.
McDougall, W. (1920). The Group Mind. New York, London: G. P. Putnam’s
Sons.
McLaughlin, B. (1989). Type epiphenomenalism, type dualism, and the causal priority of the physical. Philosophical Perspectives, 3, 109–135.
Melnyk, A. (2003). A Physicalist Manifesto: Thoroughly Modern Materialism.
Cambridge: Cambridge University Press.
Menzies, P. (2007). Mental causation on the program model. In G. Brennan, R.
Goodin, & M. Smith (Eds.), The Common Mind: Essays in Honour of Philip
Pettit (pp. 28–54). Oxford: Oxford University Press.
Miller, J. H., & Page, S. E. (2007). Complex Adaptive Systems: An Introduction
to Computational Models of Social Life. Princeton, NJ: Princeton University
Press.
Mohammed, S., & Dumville, B. (2001). Team mental models in a team knowledge
framework: Expanding theory and measurement across disciplinary boundaries. Journal of Organizational Behavior 22, 89–106.
Moreland, R. L. (1999). Transactive memory: Learning who knows what in work
groups and organizations. In L. Thompson, J. Levine, & D. Messick (Eds.),
Shared Cognition in Organizations: The Management of Knowledge. Mahwah,
NJ: Erlbaum.
Nersessian, N. J. (2006). The cognitive-cultural systems of the research laboratory.
Organization Studies, 27(1), 125–145.
Norman, D. (1991). Cognitive artifacts. In J. M. Carroll (Ed.), Designing Interaction: Psychology at the Human-Computer Interface (pp. 17–38). Cambridge:
Cambridge University Press.
O’Connor, T., & Churchill, J. (Forthcoming). Is nonreductive physicalism viable
within a causal powers metaphysic? In G. Macdonald & C. Macdonald (Eds.),
Emergence in Mind. Oxford: Oxford University Press.
O’Connor, T., & Wong, H. Y. (2000). Emergent properties. In Stanford Online
Encyclopedia of Philosophy. Retrieved from http://plato.stanford.edu/entries/
properties-emergent/
. (2005). The metaphysics of emergence. Noûs, 39, 659–679.
Park, R. E. (1927). Human nature and collective behavior. American Journal of
Sociology, 32, 733–741.
Park, R. E., & Burgess, E. W. (1921). Introduction to the science of sociology. In.
Chicago: University of Chicago Press.
Passino, K. M., Seeley, T. D., & Visscher, P. K. (2008). Swarm cognition in honey
bees. Behavioral Ecology and Sociobiology, 62, 401–414.
Corradini and O'Connor 1st pages.indd 114
T&F Proofs: Not For Distribution
1/27/2010 1:38:42 PM
The Emergence of Group Cognition 115
Pereboom, D. (2002). Robust nonreductive materialism. Journal of Philosophy,
99, 499–531.
Pettit, P. (1993). The Common Mind: An Essay on Psychology, Society, and Politics. New York: Oxford University Press.
. (2003). Groups with minds of their own. In F. Schmitt (Ed.), Socializing
Metaphysics (pp. 167–194). Oxford: Rowan and Littlefield.
Poirier, P., & Chicoisne, G. (2006). A framework for thinking about distributed
cognition. Pragmatics & Cognition, 14(2), 215–234.
Polger, T. W. (2004). Natural Minds. Cambridge, MA: MIT Press.
Popper, K. (1957). The Poverty of Historicism. London: Routledge & Kegan
Paul.
Propp, K. (1999). Collective information processing in groups. In L. Frey, D. S.
Gouran, & M. S. Poole (Eds.), Handbook of Group Communication Theory
and Research (pp. 225–250). Thousand Oaks, CA: Sage.
Resnick, M. (1994). Turtles, Termites, and Traffic Jams: Explorations in Massively
Parallel Microworlds. Cambridge, MA: MIT Press.
Richerson, P. J., & Boyd, R. (2005). Not By Genes Alone: How Culture Transformed Human Evolution. Chicago: University of Chicago Press.
Ruben, D.-H. (1985). The Metaphysics of the Social World. London: Routledge &
Kegan Paul.
Rueger, A. (2000). Physical emergence, diachronic and synchronic. Synthese,
124(3), 297–322.
Rupert, R. (2009). Cognitive Systems and the Extended Mind. New York: Oxford
University Press.
Sandelands, L. E., & Stablein, R. E. (1987). The concept of organization mind. In
S. Bacharach & N. DiTomasco (Eds.), Research in the Sociology of Organizations (pp. 135–161). Greenwich, CT: JAI Press.
Satz, D. M., & Ferejohn, J. (1994). Rational choice and social theory. Journal of
Philosophy, 91(2), 71–87.
Sawyer, R. K. (2002). Nonreductive individualism. Part I—Supervenience and wild
disjunction. Philosophy of the Social Sciences, 32, 537–559.
. (2003a). Nonreductive individualism. Part II—Social causation. Philosophy of the Social Sciences, 33, 203–224.
. (2003b). Group Creativity: Music, Theater, Collaboration. Mahwah, NJ:
Erlbaum.
. (2003c). Improvised Dialogues: Emergence and Creativity in Conversation. Westport, CT: Greenwood.
. (2004). The Mechanisms of Emergence. Philosophy of the Social Sciences,
34, 352–370.
. (2005). Social Emergence: Societies as Complex Systems. Cambridge, MA:
Cambridge University Press.
Sawyer, R. K., & Greeno, J. (2009). Situativity and learning. In P. Robbins & M.
Aydede (Eds.), The Cambridge Handbook of Situated Cognition (pp. 347–367).
New York: Cambridge University Press.
Schmitt, F. (2003a). Joint action: From individualism to supraindividualism. In
F. Schmitt (Ed.), Socializing Metaphysics (pp. 129–166). Oxford: Rowan and
Littlefield.
. (2003b). Socializing metaphysics: An introduction. In F. Schmitt (Ed.),
Socializing Metaphysics (pp. 1–37). Oxford: Rowan and Littlefield.
Searle, J. (1980). Minds, brains, and programs. Behavioral and Brain Sciences,
3(3), 417–457.
. (1990). Collective intentions and actions. In P. R. Cohen, J. L. Morgan,
& M. E. Pollack (Eds.), Intentions in Communication. Cambridge, MA: MIT
Press.
Corradini and O'Connor 1st pages.indd 115
T&F Proofs: Not For Distribution
1/27/2010 1:38:43 PM
116
Georg Theiner and Timothy O’Connor
. (1992). The Rediscovery of the Mind. Cambridge, MA: MIT Press.
. (1995). The Construction of Social Reality. New York: Free Press.
Seeley, T. D. (1995). The Wisdom of the Hive: The Social Physiology of Honey Bee
Colonies. Cambridge, MA: Harvard University Press.
Selous, E. (1931). Thought-Transference (Or What?) in Birds. London: Constable
& Co.
Shapiro, L. (2000). Multiple realizations. Journal of Philosophy, 97, 635–654.
Shoemaker, S. (2001). Realization and mental causation. In C. Gillett & B. Loewer
(Eds.), Physicalism and Its Discontents. Cambridge, MA: Cambridge University Press.
. (2007). Physical Realization. Oxford: Oxford University Press.
Simon, H. (1969). The Sciences of the Artificial. Cambridge, MA: MIT Press.
Smith, A. (1776). An Inquiry into the Nature and Causes of the Wealth of Nations.
London: Methuen and Co.
Sober, E. (1999). The multiple realizability argument against reductionism. Philosophy of Science, 66, 542–564.
Sober, E., & Wilson, D. S. (1998). Unto Others: The Evolution and Psychology of
Unselfi sh Behavior. Cambridge, MA: Harvard University Press.
Stasser, G. (1999). The uncertain role of unshared information in collective choice.
In L. Thompson, J. Levine, & D. Messick (Eds.), Shared Knowledge in Organizations. Hillsdale, NJ: Erlbaum.
Stephan, A. (2006). The dual role of ‘emergence’ in the philosophy of mind and in
cognitive science. Synthese, 151(3), 485–498.
Stevens, C., Malloch, S., McKechnie, S., & Steven, N. (2003). Choreographic cognition: The time-course and phenomenology of creating a dance. Pragmatics &
Cognition, 11(2), 297–326.
Stevens, K., McKechnie, S., Malloch, S., & Petocz, A. (2000). Choreographic cognition: Composing time and space. In C. Woods, G. Luck, R. Brochard, F. Seddon, J. A. Sloboda, & S. O’Neill (Eds.), Proceedings of the 6th International
Conference on Music Perception & Cognition. Keele, UK: Department of Psychology, Keele University, August 2000.
Sutton, J. (2006). Distributed cognition: Domains and dimensions. Pragmatics &
Cognition, 14(2), 235–247.
Thagard, P. (1996). Mind: Introduction to Cognitive Science. Cambridge, MA:
MIT Press.
Theiner, G. (2008). From Extended Minds to Group Minds: Rethinking the
Boundaries of the Mental (Ph.D. Thesis). Indiana University, Bloomington.
Tollefsen, D. (2004). Collective epistemic agency. Southwest Philosophy Review,
20(1), 55–66.
. (2006). From extended mind to collective mind. Cognitive Systems
Research 7(2–3), 140–150.
Tye, M. (1995). Ten Problems of Consciousness: A Representational Theory of the
Phenomenal Mind. Cambridge, MA: MIT Press.
Van Gulick, R. (2001). Reduction, emergence and other recent options on the
mind/body problem: A philosophic overview. Journal of Consciousness Studies, 8(9–10), 1–34.
Walsh, J. P., & Ungson, G. R. (1991). Organizational memory. Academy of Management Review, 16, 57–91.
Watkins, J. W. (1957). Historical explanation in the social sciences. British Journal
for the Philosophy of Science, 8, 104–117.
Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of “small-world” networks. Nature, 393, 440–442.
Corradini and O'Connor 1st pages.indd 116
T&F Proofs: Not For Distribution
1/27/2010 1:38:43 PM
The Emergence of Group Cognition 117
Wegner, D. M. (1986). Transactive memory: A contemporary analysis of the group
mind. In B. Mullen & G. R. Goethals (Eds.), Theories of Group Behavior (pp.
185–208). New York: Springer.
. (1995). A computer network model of human transactive memory. Social
Cognition, 13, 319–339.
Wegner, D. M., Erber, R., & Raymond, P. (1991). Transactive memory in close
relationships. Journal of Personality and Social Psychology, 61, 923–929.
Wegner, D. M., Giuliano, T., & Hertel, P. (1985). Cognitive interdependence in
close relationships. In W. J. Ickes (Ed.), Compatible and Incompatible Relationships (pp. 253–276). New York: Springer.
Wheeler, G. (1920). The termitodoxa, or biology and society. Scientific Monthly,
10, 113–124.
Wheeler, W. M., & Parker, G. H. (1939). Essays in Philosophical Biology. Cambridge, MA: Harvard University Press.
Wilson, D. S. (1997). Incorporating group selection into the adaptationist program: A case study involving human decision making. In J. A. Simpson & D. T.
Kenrick (Eds.), Evolutionary Social Psychology. Mahwah, NJ: Erlbaum.
. (2002). Darwin’s Cathedral: Evolution, Religion, and the Nature of Society. Chicago: University of Chicago Press.
Wilson, D. S., van Vugt, M., & O’Gorman, R. (2008). Multilevel selection theory
and major evolutionary transitions: Implications for Psychological Science. Current Directions in Psychological Science, 17, 6–9.
Wilson, D. S., & Wilson, E. O. (2007). Rethinking the theoretical foundation of
sociobiology. Quarterly Review of Biology, 82, 327–348.
Wilson, R. (2001a). Group-level cognition. Philosophy of Science, 68(Supplement),
262–273.
. (2001b). Two views of realization. Philosophical Studies, 104(1), 1–31.
. (2004). Boundaries of the Mind: The Individual in the Fragile Sciences.
Cambridge: Cambridge University Press.
. (2005). Collective memory, group minds, and the extended mind thesis.
Cognitive Processes, 6(4), 227–236.
. (In press). Extended vision. In N. Gangopadhyay, M. Madary & F. Spicer
(Eds.), Perception, Action and Consciousness. New York: Oxford University
Press.
Wilson, R., & Clark, A. (2009). How to situate cognition: Letting nature take its
course. In M. Aydede & P. Robbins (Eds.), The Cambridge Handbook of Situated Cognition (pp. 55–77). Cambridge, MA: Cambridge University Press.
Wimsatt, W. C. (1981). Robustness, reliability, and overdetermination. In M.
Brewer & B. Collins (Eds.), Scientific Inquiry and the Social Sciences (pp. 124–
163). San Francisco: Jossey-Bass.
. (1986). Forms of aggregativity. In M. G. Grene, A. Donagan, A. N. Perovich, & M. V. Wedin (Eds.), Human Nature and Natural Knowledge (pp.
259–291). Dordrecht: Reidel.
. (1994). The ontology of complex systems: Levels, perspectives and causal
thickets. In M. Matthen & R. X. Ware (Eds.), Biology and Society: Refl ections
on Methodology (pp. 207–274).
. (1997). Aggregativity: Reductive heuristics for fi nding emergence. Proceedings of the 1996 Biennial Meetings of the Philosophy of Science Association,
Part 2, S372–S384.
. (2007). Re-Engineering Philosophy for Limited Beings: Piecewise Approximations to Reality. Cambridge, MA: Harvard University Press.
Corradini and O'Connor 1st pages.indd 117
T&F Proofs: Not For Distribution
1/27/2010 1:38:43 PM