Bin Li
Bin Li is the initiator of "Algorithmical" Economics & Social Science & Philosophy, proposing the concept of Grand Synthesis of knowledge systems, and authoring 4 books, 2 of them bilingual. A former independent scholar and a columnist in China. Currently a visiting scholar of University of North Carolina at Chapel Hill.
Address: https://www.researchgate.net/profile/Bin_Li197 https://binli.academia.edu/
http://blog.sina.com.cn/libinw (in Chinese)
Address: https://www.researchgate.net/profile/Bin_Li197 https://binli.academia.edu/
http://blog.sina.com.cn/libinw (in Chinese)
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proposed by the author.
Drafts by Bin Li
Human thoughts shall be entities, and thinking shall be actions, both featured spatiotemporally. Simulating a computer, human thinking can be interpreted as computational Operations which mean that Instructions, as the innate and general thinking tools, process information or data selectively, serially, and “roundaboutly”. A great deal of consequences are thereby reasoned, such as knowledges (human capital), bounded rationalities, subjectivities, dynamics & infinite developments, pluralities, patterns, externalities, innovations, convergences & divergences, economic men, money, institutions & organizations, psychologies, etc. The Algorithmic principles are applied illustratively in turn to economics, politics, laws, sociology, history, psychology, etc., both ontologically and methodologically.
This book originates an economic theory on how a person thinks, which can be used to frame theoretical analyses, resulting in the Grand Synthesis or unification both of economics and social sciences.
Human thoughts shall be entities, and thinking shall be actions, both featured spatiotemporally. Simulating a computer, human thinking can be interpreted as computational Operations which mean that Instructions, as the innate and general thinking tools, process information or data selectively, serially, and “roundaboutly”. A great deal of consequences are thereby reasoned, such as knowledges (human capital), bounded rationalities, subjectivities, dynamics & infinite developments, pluralities, patterns, externalities, innovations, convergences & divergences, economic men, money, institutions & organizations, psychologies, etc. The Algorithmic principles are applied illustratively in turn to economics, politics, laws, sociology, history, psychology, etc., both ontologically and methodologically. Any comments or feedback are very welcome!
This book originates an economic theory on how a person thinks, which can be used to frame theoretical analyses, resulting in the Grand Synthesis or unification both of economics and social sciences.
Human thoughts shall be entities, and thinking shall be actions, both featured spatiotemporally. Simulating a computer, human thinking can be interpreted as computational Operations which mean that Instructions, as the innate and general thinking tools, process information or data selectively, serially, and “roundaboutly”. A great deal of consequences are thereby reasoned, such as knowledges (human capital), bounded rationalities, subjectivities, dynamics & infinite developments, pluralities, patterns, externalities, innovations, convergences & divergences, economic men, money, institutions & organizations, psychologies, etc. The Algorithmic principles are applied illustratively in turn to economics, politics, laws, sociology, history, psychology, etc., both ontologically and methodologically. Any comments or feedback are very welcome!
proposed by the author.
Human thoughts shall be entities, and thinking shall be actions, both featured spatiotemporally. Simulating a computer, human thinking can be interpreted as computational Operations which mean that Instructions, as the innate and general thinking tools, process information or data selectively, serially, and “roundaboutly”. A great deal of consequences are thereby reasoned, such as knowledges (human capital), bounded rationalities, subjectivities, dynamics & infinite developments, pluralities, patterns, externalities, innovations, convergences & divergences, economic men, money, institutions & organizations, psychologies, etc. The Algorithmic principles are applied illustratively in turn to economics, politics, laws, sociology, history, psychology, etc., both ontologically and methodologically.
This book originates an economic theory on how a person thinks, which can be used to frame theoretical analyses, resulting in the Grand Synthesis or unification both of economics and social sciences.
Human thoughts shall be entities, and thinking shall be actions, both featured spatiotemporally. Simulating a computer, human thinking can be interpreted as computational Operations which mean that Instructions, as the innate and general thinking tools, process information or data selectively, serially, and “roundaboutly”. A great deal of consequences are thereby reasoned, such as knowledges (human capital), bounded rationalities, subjectivities, dynamics & infinite developments, pluralities, patterns, externalities, innovations, convergences & divergences, economic men, money, institutions & organizations, psychologies, etc. The Algorithmic principles are applied illustratively in turn to economics, politics, laws, sociology, history, psychology, etc., both ontologically and methodologically. Any comments or feedback are very welcome!
This book originates an economic theory on how a person thinks, which can be used to frame theoretical analyses, resulting in the Grand Synthesis or unification both of economics and social sciences.
Human thoughts shall be entities, and thinking shall be actions, both featured spatiotemporally. Simulating a computer, human thinking can be interpreted as computational Operations which mean that Instructions, as the innate and general thinking tools, process information or data selectively, serially, and “roundaboutly”. A great deal of consequences are thereby reasoned, such as knowledges (human capital), bounded rationalities, subjectivities, dynamics & infinite developments, pluralities, patterns, externalities, innovations, convergences & divergences, economic men, money, institutions & organizations, psychologies, etc. The Algorithmic principles are applied illustratively in turn to economics, politics, laws, sociology, history, psychology, etc., both ontologically and methodologically. Any comments or feedback are very welcome!
This book originates an economic theory on how a person thinks, which can be used to frame theoretical analyses, resulting in the Grand Synthesis or unification both of economics and social sciences.
Human thoughts shall be entities, and thinking shall be actions, both featured spatiotemporally. Simulating a computer, human thinking can be interpreted as computational Operations which mean that Instructions, as the innate and general thinking tools, process information or data selectively, serially, and “roundaboutly”. A great deal of consequences are thereby reasoned, such as knowledges (human capital), bounded rationalities, subjectivities, dynamics & infinite developments, pluralities, patterns, externalities, innovations, convergences & divergences, economic men, money, institutions & organizations, psychologies, etc. The Algorithmic principles are applied illustratively in turn to economics, politics, laws, sociology, history, psychology, etc., both ontologically and methodologically. Any comments or feedback are very welcome!
Cognitive Psychology,
Cognitive Science,
Algorithms,
Economics,
Social Sciences,
Research Methodology,
Emotional intelligence,
Cultural Evolution,
Behavioral Economics,
Bounded Rationality,
Irrationality,
Subjectivity,
Modern Philosophy,
Computer Simulation,
Computational Economics Social Sciences,
New thinking in economics,
Consciousness and Creativity,
Unification of the Social Sciences,
philosophical synthesis,
combinatorial explosion
Social scientists can infer under this framework without knowing well of computer science or technological details. As the ability of an operation is so tiny, thinking or computation has to be undertaken “roundaboutly”, thereby endogenizing thinking stocks or knowledges, which both support and constrain operations, and evolve and develop qualitatively and quantitatively. Since the operations accomplished hitherto, and hence the knowledges acquired, must be limited, actors have to make decisions with the “bounded rationality”. Time and resources elapse, but the demands need to be satisfied in time, hence the decisive computations have to finish timely. This is why the tedious deductions are often “reasonably” forsaken and the actors “deductively” turn to various non-deductive methods (“Algorithms”), thereby subjectivities or “irrationalities” rationally and optimally happen. The world is pluralistic in actors’ eyes before computations, and the pluralities, via computations, diminish and converge toward consistency and equilibrium; meanwhile, with the establishment of some equilibria, human computational power is saved and therefore can be re-invest in new areas; thus, computations will return active and the world will still be pluralistic or “mixed”, where any order or regularity exists just partly. Accumulation of computational results leads to continuous knowledge expansion, innovation and development, and the mathematical principle of “Combinatorial Explosion” ensure the development would be explosive and endless, thus, the mainstream equilibrium paradigm is deconstructed, re-absorbed and broken through.
Money arises from saving the costs of price conversion, so it is an Algorithmic consequence. Computing economy makes knowledge stocks quite rigid, which causes the endogeny of institutions as a kind of rigid knowledges. The pervasive conflicts incur waste and losses, where an organization can be built up, through buying the interpersonal obedience and concordance, to pursue the additional benefits. Governments as a kind of organization can be bred in various Algorithmic ways. Bounded rationality entails the distinction, symbiosis and overlap between intentions and consequences, which explains “Invisible Hand” as an externality. Bounded rationality also emanates that transactional opportunities are local, and then other non-transactional behaviors emerge, including the governmental and social ones.