In this work, we present a distributed cognitive architecture used to control the traffic
in an u... more In this work, we present a distributed cognitive architecture used to control the traffic in an urban network. This architecture relies on a machine consciousness approach - Global Workspace Theory - in order to use competition and broadcast, allowing a group of local traffic controllers to interact, resulting in a better group performance. The main idea is that the local controllers usually perform a purely reactive behavior, defining the times of red and green lights, according just to local information. These local controllers compete in order to define which of them is experiencing the most critical traffic situation. The controller in the worst condition gains access to the global workspace, further broadcasting its condition (and its location) to all other controllers, asking for their help in dealing with its situation. This call from the controller accessing the global workspace will cause an interference in the reactive local behavior, for those local controllers with some chance in helping the controller in a critical condition, by containing traffic in its direction. This group behavior, coordinated by the global workspace strategy, turns the once reactive behavior into a kind of deliberative one. We show that this strategy is capable of improving the overall mean travel time of vehicles flowing through the urban network. A consistent gain in performance with the “Artificial Consciousness” traffic signal controller during all simulation time, throughout different simulated scenarios, could be observed, ranging from around 13,8% to more than 21%.
The digital beam position monitors manufactured by the Slovenian company I-Tech have emerged as a... more The digital beam position monitors manufactured by the Slovenian company I-Tech have emerged as a rich tool for diagnostics, extending measurement capabilities and allowing routine execution of a wide variety of machine physics experiments. This paper reports on the LNLS experience with a Libera Brilliance unit through the realization of a set of experiments which allowed testing key features of the instrument, taking advantage mainly of its turn-by-turn and fast data capabilities. Moreover, the development of a Matlab control program and future plans regarding new applications and installation of a second unit are presented.
2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies (CIRAT), 2013
This work describes the development of an intelligent agent responsible for making relevant actio... more This work describes the development of an intelligent agent responsible for making relevant action suggestions to a BCI user in the context of an intelligent environment. For the development of this agent, a modified version of a behavior network, embedded into a neuroscience inspired cognitive architecture, has been implemented. A new soft-preconditions list has been introduced in the original model in order for it to be used as an assistant agent.
This paper presents an algorithm for action selection, in the context of intelligent agents, capa... more This paper presents an algorithm for action selection, in the context of intelligent agents, capable of learning from rewards which are sparse in time. Inspiration for the proposed algorithm was drawn from computational neuroscience models of how the human prefrontal cortex (PFC) works. We have observed that this abstraction provides some advantages, such as the representation of solutions as trees, making it human-readable, and turning the learning process into a combinatorial optimization problem. Results for it solving the 1-2-AX working memory task are presented and discussed. We also argue the pros and cons of the proposed algorithm and, finally, address potential future work.
The main motivation for this work is to investigate the advantages provided by machine consciousn... more The main motivation for this work is to investigate the advantages provided by machine consciousness, while in the control of software agents. In order to pursue this goal, we developed a cognitive architecture, with different levels of machine consciousness, targeting the control of artificial creatures. As a standard guideline, we applied cognitive neuroscience concepts to incrementally develop the cognitive architecture, following the evolutionary steps taken by the animal brain. The triune brain theory proposed by MacLean, together with Arrabale's "ConsScale", serve as roadmaps to achieve each developmental stage, while iCub — a humanoid robot and its simulator — serve as a platform for the experiments. A completely codelet-based system "Core" has been implemented, serving the whole architecture.
Environmental problems caused by the burning of fossil fuel in conjunction with the high cost of ... more Environmental problems caused by the burning of fossil fuel in conjunction with the high cost of oil have been demanded the development of flexfuel vehicles, a major innovation, as ethanol-gasoline mixture produces a relatively cleaner post-combustion emission in comparison to gasoline. However, the high efficiency burning of this dual-fuel engine depends on the precise determination of concentration of alcohol-gasoline mixture ratios. The only technique commercially available uses a post-combustion sensor to analyze the exhaust gases, after combustion, that is called lambda probe . This ratio can be measured in real- time using an optical fiber sensor in contact with the fuel to be analyzed. Measurements of luminous intensity obtained with the optical sensor are converted into electrical tension (V). This voltage can then be correlated with the ratio of alcohol-gasoline trough calibration curves, and the estimated precision was ±3%.
Brazilian Bioethanol is produced by the fermentation process of sugar cane juice. The fermentatio... more Brazilian Bioethanol is produced by the fermentation process of sugar cane juice. The fermentation is the bio-chemical process that converts sugar into ethanol, with the help of micro organisms. Fermented sugar cane juice is distilled under controlled conditions of pressure and temperature. After first distillation the ethanol solution contains, approximately, 50% of water and 50% of ethanol. The residue of
Resumo Para usar o adjetivo pública com justiça, uma universidade precisa oferecer a qualquer c... more Resumo Para usar o adjetivo pública com justiça, uma universidade precisa oferecer a qualquer cidadão a possibilidade de acesso. Embora a UNICAMP realize um vestibular diferenciado, permitindo o ingresso de praticamente qualquer pessoa, independente de classe social, ...
In this work, we present a distributed cognitive architecture used to control the traffic
in an u... more In this work, we present a distributed cognitive architecture used to control the traffic in an urban network. This architecture relies on a machine consciousness approach - Global Workspace Theory - in order to use competition and broadcast, allowing a group of local traffic controllers to interact, resulting in a better group performance. The main idea is that the local controllers usually perform a purely reactive behavior, defining the times of red and green lights, according just to local information. These local controllers compete in order to define which of them is experiencing the most critical traffic situation. The controller in the worst condition gains access to the global workspace, further broadcasting its condition (and its location) to all other controllers, asking for their help in dealing with its situation. This call from the controller accessing the global workspace will cause an interference in the reactive local behavior, for those local controllers with some chance in helping the controller in a critical condition, by containing traffic in its direction. This group behavior, coordinated by the global workspace strategy, turns the once reactive behavior into a kind of deliberative one. We show that this strategy is capable of improving the overall mean travel time of vehicles flowing through the urban network. A consistent gain in performance with the “Artificial Consciousness” traffic signal controller during all simulation time, throughout different simulated scenarios, could be observed, ranging from around 13,8% to more than 21%.
The digital beam position monitors manufactured by the Slovenian company I-Tech have emerged as a... more The digital beam position monitors manufactured by the Slovenian company I-Tech have emerged as a rich tool for diagnostics, extending measurement capabilities and allowing routine execution of a wide variety of machine physics experiments. This paper reports on the LNLS experience with a Libera Brilliance unit through the realization of a set of experiments which allowed testing key features of the instrument, taking advantage mainly of its turn-by-turn and fast data capabilities. Moreover, the development of a Matlab control program and future plans regarding new applications and installation of a second unit are presented.
2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies (CIRAT), 2013
This work describes the development of an intelligent agent responsible for making relevant actio... more This work describes the development of an intelligent agent responsible for making relevant action suggestions to a BCI user in the context of an intelligent environment. For the development of this agent, a modified version of a behavior network, embedded into a neuroscience inspired cognitive architecture, has been implemented. A new soft-preconditions list has been introduced in the original model in order for it to be used as an assistant agent.
This paper presents an algorithm for action selection, in the context of intelligent agents, capa... more This paper presents an algorithm for action selection, in the context of intelligent agents, capable of learning from rewards which are sparse in time. Inspiration for the proposed algorithm was drawn from computational neuroscience models of how the human prefrontal cortex (PFC) works. We have observed that this abstraction provides some advantages, such as the representation of solutions as trees, making it human-readable, and turning the learning process into a combinatorial optimization problem. Results for it solving the 1-2-AX working memory task are presented and discussed. We also argue the pros and cons of the proposed algorithm and, finally, address potential future work.
The main motivation for this work is to investigate the advantages provided by machine consciousn... more The main motivation for this work is to investigate the advantages provided by machine consciousness, while in the control of software agents. In order to pursue this goal, we developed a cognitive architecture, with different levels of machine consciousness, targeting the control of artificial creatures. As a standard guideline, we applied cognitive neuroscience concepts to incrementally develop the cognitive architecture, following the evolutionary steps taken by the animal brain. The triune brain theory proposed by MacLean, together with Arrabale's "ConsScale", serve as roadmaps to achieve each developmental stage, while iCub — a humanoid robot and its simulator — serve as a platform for the experiments. A completely codelet-based system "Core" has been implemented, serving the whole architecture.
Environmental problems caused by the burning of fossil fuel in conjunction with the high cost of ... more Environmental problems caused by the burning of fossil fuel in conjunction with the high cost of oil have been demanded the development of flexfuel vehicles, a major innovation, as ethanol-gasoline mixture produces a relatively cleaner post-combustion emission in comparison to gasoline. However, the high efficiency burning of this dual-fuel engine depends on the precise determination of concentration of alcohol-gasoline mixture ratios. The only technique commercially available uses a post-combustion sensor to analyze the exhaust gases, after combustion, that is called lambda probe . This ratio can be measured in real- time using an optical fiber sensor in contact with the fuel to be analyzed. Measurements of luminous intensity obtained with the optical sensor are converted into electrical tension (V). This voltage can then be correlated with the ratio of alcohol-gasoline trough calibration curves, and the estimated precision was ±3%.
Brazilian Bioethanol is produced by the fermentation process of sugar cane juice. The fermentatio... more Brazilian Bioethanol is produced by the fermentation process of sugar cane juice. The fermentation is the bio-chemical process that converts sugar into ethanol, with the help of micro organisms. Fermented sugar cane juice is distilled under controlled conditions of pressure and temperature. After first distillation the ethanol solution contains, approximately, 50% of water and 50% of ethanol. The residue of
Resumo Para usar o adjetivo pública com justiça, uma universidade precisa oferecer a qualquer c... more Resumo Para usar o adjetivo pública com justiça, uma universidade precisa oferecer a qualquer cidadão a possibilidade de acesso. Embora a UNICAMP realize um vestibular diferenciado, permitindo o ingresso de praticamente qualquer pessoa, independente de classe social, ...
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Papers by Klaus Raizer
in an urban network. This architecture relies on a machine consciousness approach - Global
Workspace Theory - in order to use competition and broadcast, allowing a group of local traffic
controllers to interact, resulting in a better group performance. The main idea is that the local
controllers usually perform a purely reactive behavior, defining the times of red and green lights,
according just to local information. These local controllers compete in order to define which of
them is experiencing the most critical traffic situation. The controller in the worst condition
gains access to the global workspace, further broadcasting its condition (and its location) to all
other controllers, asking for their help in dealing with its situation. This call from the controller
accessing the global workspace will cause an interference in the reactive local behavior, for those
local controllers with some chance in helping the controller in a critical condition, by containing
traffic in its direction. This group behavior, coordinated by the global workspace strategy, turns
the once reactive behavior into a kind of deliberative one. We show that this strategy is capable
of improving the overall mean travel time of vehicles flowing through the urban network. A
consistent gain in performance with the “Artificial Consciousness” traffic signal controller during
all simulation time, throughout different simulated scenarios, could be observed, ranging from
around 13,8% to more than 21%.
in an urban network. This architecture relies on a machine consciousness approach - Global
Workspace Theory - in order to use competition and broadcast, allowing a group of local traffic
controllers to interact, resulting in a better group performance. The main idea is that the local
controllers usually perform a purely reactive behavior, defining the times of red and green lights,
according just to local information. These local controllers compete in order to define which of
them is experiencing the most critical traffic situation. The controller in the worst condition
gains access to the global workspace, further broadcasting its condition (and its location) to all
other controllers, asking for their help in dealing with its situation. This call from the controller
accessing the global workspace will cause an interference in the reactive local behavior, for those
local controllers with some chance in helping the controller in a critical condition, by containing
traffic in its direction. This group behavior, coordinated by the global workspace strategy, turns
the once reactive behavior into a kind of deliberative one. We show that this strategy is capable
of improving the overall mean travel time of vehicles flowing through the urban network. A
consistent gain in performance with the “Artificial Consciousness” traffic signal controller during
all simulation time, throughout different simulated scenarios, could be observed, ranging from
around 13,8% to more than 21%.