Ebook: Biologically Inspired Cognitive Architectures 2012: Proceedings of the Third Annual Meeting of the BICA Society

The challenge of creating a real-life computational equivalent of the human mind requires that we better understand at a computational level how natural intelligent systems develop their cognitive and learning functions. In recent years, biologically inspired cognitive architectures have emerged as a powerful new approach toward gaining this kind of understanding (here “biologically inspired” is understood broadly as “brain-mind inspired”). Still, despite impressive successes and growing interest in BICA, wide gaps separate different approaches from each other and from solutions found in biology. Modern scientific societies pursue related yet separate goals, while the mission of the BICA Society consists in the integration of many efforts in addressing the above challenge. Therefore, the BICA Society shall bring together researchers from disjointed fields and communities who devote their efforts to solving the same challenge, despite that they may “speak different languages”. This will be achieved by promoting and facilitating the transdisciplinary study of cognitive architectures, and in the long-term perspective – creating one unifying widespread framework for the human-level cognitive architectures and their implementations.
This book is a proceedings of the Third Annual Meeting of the BICA Society, which was hold in Palermo-Italy from October 31 to November 2, 2012. The book describes recent advances and new challenges around the theme of understanding
how to create general-purpose humanlike artificial intelligence using inspirations from studies of the brain and the mind.

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The challenge of creating a real-life computational equivalent of the human mind requires that we better understand at a computational level how natural intelligent systems develop their cognitive and learning functions. In recent years, biologically inspired cognitive architectures have emerged as a powerful new approach toward gaining this kind of understanding (here “biologically inspired” is understood broadly as “brain-mind inspired”). Still, despite impressive successes and growing interest in BICA, wide gaps separate different approaches from each other and from solutions found in biology. Modern scientific societies pursue related yet separate goals, while the mission of the BICA Society consists in the integration of many efforts in addressing the above challenge. Therefore, the BICA Society shall bring together researchers from disjointed fields and communities who devote their efforts to solving the same challenge, despite that they may “speak different languages”. This will be achieved by promoting and facilitating the transdisciplinary study of cognitive architectures, and in the long-term perspective – creating one unifying widespread framework for the human-level cognitive architectures and their implementations.
This book is a proceedings of the Third Annual Meeting of the BICA Society, which was hold in Palermo-Italy from October 31 to November 2, 2012. The book describes recent advances and new challenges around the theme of understanding how to create general-purpose humanlike artificial intelligence using inspirations from studies of the brain and the mind.

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The challenge of creating a real-life computational equivalent of the human mind requires that we better understand at a computational level how natural intelligent systems develop their cognitive and learning functions. In recent years, biologically inspired cognitive architectures have emerged as a powerful new approach toward gaining this kind of understanding (here “biologically inspired” is understood broadly as “brain-mind inspired”). Still, despite impressive successes and growing interest in BICA, wide gaps separate different approaches from each other and from solutions found in biology. Modern scientific societies pursue related yet separate goals, while the mission of the BICA Society consists in the integration of many efforts in addressing the above challenge. Therefore, the BICA Society shall bring together researchers from disjointed fields and communities who devote their efforts to solving the same challenge, despite that they may “speak different languages”. This will be achieved by promoting and facilitating the transdisciplinary study of cognitive architectures, and in the long-term perspective – creating one unifying widespread framework for the human-level cognitive architectures and their implementations.
This book is a proceedings of the Third Annual Meeting of the BICA Society, which was hold in Palermo-Italy from October 31 to November 2, 2012. The book describes recent advances and new challenges around the theme of understanding how to create general-purpose humanlike artificial intelligence using inspirations from studies of the brain and the mind.
Content:
Front Matter....Pages 1-16
Back to Basics and Forward to Novelty in Machine Consciousness....Pages 1-6
Characterizing and Assessing Human-Like Behavior in Cognitive Architectures....Pages 7-15
Architects or Botanists? The Relevance of (Neuronal) Trees to Model Cognition....Pages 17-17
Consciousness and the Quest for Sentient Robots....Pages 19-27
Biological Fluctuation “Yuragi” as the Principle of Bio-inspired Robots....Pages 29-29
Active Learning by Selecting New Training Samples from Unlabelled Data....Pages 31-31
Biologically Inspired beyond Neural: Benefits of Multiple Modeling Levels....Pages 33-33
Turing and de Finetti Ganes: Machines Making Us Think....Pages 35-35
How to Simulate the Brain without a Computer....Pages 37-37
Odor Perception through Network Self-organization: Large Scale Realistic Simulations of the Olfactory Bulb....Pages 39-40
Extending Cognitive Architectures....Pages 41-49
Babies and Baby-Humanoids to Study Cognition....Pages 51-51
Towards Architectural Foundations for Cognitive Self-aware Systems....Pages 53-53
Achieving AGI within My Lifetime: Some Progress and Some Observations....Pages 55-55
Learning and Creativity in the Global Workspace....Pages 57-57
Multimodal People Engagement with iCub....Pages 59-64
Human Action Recognition from RGB-D Frames Based on Real-Time 3D Optical Flow Estimation....Pages 65-74
Modality in the MGLAIR Architecture....Pages 75-81
Robotics and Virtual Worlds: An Experiential Learning Lab....Pages 83-87
Comprehensive Uncertainty Management in MDPs....Pages 89-94
A New Humanoid Architecture for Social Interaction between Human and a Robot Expressing Human-Like Emotions Using an Android Mobile Device as Interface....Pages 95-103
The Concepts of Intuition and Logic within the Frame of Cognitive Process Modeling....Pages 105-107
Do Humanoid Robots Need a Body Schema?....Pages 109-115
Simulation and Anticipation as Tools for Coordinating with the Future....Pages 117-125
Solutions for a Robot Brain....Pages 127-129
Exemplars, Prototypes and Conceptual Spaces....Pages 131-136
The Small Loop Problem: A Challenge for Artificial Emergent Cognition....Pages 137-144
Crowd Detection Based on Co-occurrence Matrix....Pages 145-152
Development of a Framework for Measuring Cognitive Process Performance....Pages 153-159
I Feel Blue: Robots and Humans Sharing Color Representation for Emotional Cognitive Interaction....Pages 161-166
Investigating Perceptual Features for a Natural Human - Humanoid Robot Interaction Inside a Spontaneous Setting....Pages 167-174
Internal Simulation of an Agent’s Intentions....Pages 175-176
A Model of Primitive Consciousness Based on System-Level Learning Activity in Autonomous Adaptation....Pages 177-185
Decision-Making and Action Selection in Two Minds....Pages 187-192
Cognitive Chrono-Ethnography: A Methodology for Understanding Users for Designing Interactions Based on User Simulation with Cognitive Architectures....Pages 193-198
Emotional Emergence in a Symbolic Dynamical Architecture....Pages 199-204
An Integrated, Modular Framework for Computer Vision and Cognitive Robotics Research (icVision)....Pages 205-210
Insertion Cognitive Architecture....Pages 211-217
A Parsimonious Cognitive Architecture for Human-Computer Interactive Musical Free Improvisation....Pages 219-224
Cognitive Integration through Goal-Generation in a Robotic Setup....Pages 225-231
A Review of Cognitive Architectures for Visual Memory....Pages 233-238
A Model of the Visual Dorsal Pathway for Computing Coordinate Transformations: An Unsupervised Approach....Pages 239-246
Multiagent Recursive Cognitive Architecture....Pages 247-248
A Biologically-Inspired Perspective on Commonsense Knowledge....Pages 249-250
Coherence Fields for 3D Saliency Prediction....Pages 251-263
Principles of Functioning of Autonomous Agent-Physicist....Pages 265-266
Affect-Inspired Resource Management in Dynamic, Real-Time Environments....Pages 267-272
An Approach toward Self-organization of Artificial Visual Sensorimotor Structures....Pages 273-282
Biologically Inspired Methods for Automatic Speech Understanding....Pages 283-286
Modeling Structure and Dynamics of Selective Attention....Pages 287-295
How to Engineer Biologically Inspired Cognitive Architectures....Pages 297-298
An Adaptive Affective Social Decision Making Model....Pages 299-308
A Robot Uses an Evaluation Based on Internal Time to Become Self-aware and Discriminate Itself from Others....Pages 309-315
Why Neurons Are Not the Right Level of Abstraction for Implementing Cognition....Pages 317-318
Intertemporal Decision Making: A Mental Load Perspective....Pages 319-331
A Non-von-Neumann Computational Architecture Based on in Situ Representations: Integrating Cognitive Grounding, Productivity and Dynamics....Pages 333-337
A Formal Model of Neuron That Provides Consistent Predictions....Pages 339-344
Safely Crowd-Sourcing Critical Mass for a Self-improving Human-Level Learner/“Seed AI”....Pages 345-350
Unconscious Guidance of Pedestrians Using Vection and Body Sway....Pages 351-359
The Analysis of Amodal Completion for Modeling Visual Perception....Pages 361-361
Naturally Biased Associations between Colour and Shape: A Brentanian Approach....Pages 363-364
Architecture to Serve Disabled and Elderly....Pages 365-365
Bio-inspired Sensory Data Aggregation....Pages 367-368
Clifford Rotors for Conceptual Representation in Chatbots....Pages 369-370
Neurogenesis in a High Resolution Dentate Gyrus Model....Pages 371-372
A Game Theoretic Model of Neurocomputation....Pages 373-374
Back Matter....Pages 0--1

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The challenge of creating a real-life computational equivalent of the human mind requires that we better understand at a computational level how natural intelligent systems develop their cognitive and learning functions. In recent years, biologically inspired cognitive architectures have emerged as a powerful new approach toward gaining this kind of understanding (here “biologically inspired” is understood broadly as “brain-mind inspired”). Still, despite impressive successes and growing interest in BICA, wide gaps separate different approaches from each other and from solutions found in biology. Modern scientific societies pursue related yet separate goals, while the mission of the BICA Society consists in the integration of many efforts in addressing the above challenge. Therefore, the BICA Society shall bring together researchers from disjointed fields and communities who devote their efforts to solving the same challenge, despite that they may “speak different languages”. This will be achieved by promoting and facilitating the transdisciplinary study of cognitive architectures, and in the long-term perspective – creating one unifying widespread framework for the human-level cognitive architectures and their implementations.
This book is a proceedings of the Third Annual Meeting of the BICA Society, which was hold in Palermo-Italy from October 31 to November 2, 2012. The book describes recent advances and new challenges around the theme of understanding how to create general-purpose humanlike artificial intelligence using inspirations from studies of the brain and the mind.
Content:
Front Matter....Pages 1-16
Back to Basics and Forward to Novelty in Machine Consciousness....Pages 1-6
Characterizing and Assessing Human-Like Behavior in Cognitive Architectures....Pages 7-15
Architects or Botanists? The Relevance of (Neuronal) Trees to Model Cognition....Pages 17-17
Consciousness and the Quest for Sentient Robots....Pages 19-27
Biological Fluctuation “Yuragi” as the Principle of Bio-inspired Robots....Pages 29-29
Active Learning by Selecting New Training Samples from Unlabelled Data....Pages 31-31
Biologically Inspired beyond Neural: Benefits of Multiple Modeling Levels....Pages 33-33
Turing and de Finetti Ganes: Machines Making Us Think....Pages 35-35
How to Simulate the Brain without a Computer....Pages 37-37
Odor Perception through Network Self-organization: Large Scale Realistic Simulations of the Olfactory Bulb....Pages 39-40
Extending Cognitive Architectures....Pages 41-49
Babies and Baby-Humanoids to Study Cognition....Pages 51-51
Towards Architectural Foundations for Cognitive Self-aware Systems....Pages 53-53
Achieving AGI within My Lifetime: Some Progress and Some Observations....Pages 55-55
Learning and Creativity in the Global Workspace....Pages 57-57
Multimodal People Engagement with iCub....Pages 59-64
Human Action Recognition from RGB-D Frames Based on Real-Time 3D Optical Flow Estimation....Pages 65-74
Modality in the MGLAIR Architecture....Pages 75-81
Robotics and Virtual Worlds: An Experiential Learning Lab....Pages 83-87
Comprehensive Uncertainty Management in MDPs....Pages 89-94
A New Humanoid Architecture for Social Interaction between Human and a Robot Expressing Human-Like Emotions Using an Android Mobile Device as Interface....Pages 95-103
The Concepts of Intuition and Logic within the Frame of Cognitive Process Modeling....Pages 105-107
Do Humanoid Robots Need a Body Schema?....Pages 109-115
Simulation and Anticipation as Tools for Coordinating with the Future....Pages 117-125
Solutions for a Robot Brain....Pages 127-129
Exemplars, Prototypes and Conceptual Spaces....Pages 131-136
The Small Loop Problem: A Challenge for Artificial Emergent Cognition....Pages 137-144
Crowd Detection Based on Co-occurrence Matrix....Pages 145-152
Development of a Framework for Measuring Cognitive Process Performance....Pages 153-159
I Feel Blue: Robots and Humans Sharing Color Representation for Emotional Cognitive Interaction....Pages 161-166
Investigating Perceptual Features for a Natural Human - Humanoid Robot Interaction Inside a Spontaneous Setting....Pages 167-174
Internal Simulation of an Agent’s Intentions....Pages 175-176
A Model of Primitive Consciousness Based on System-Level Learning Activity in Autonomous Adaptation....Pages 177-185
Decision-Making and Action Selection in Two Minds....Pages 187-192
Cognitive Chrono-Ethnography: A Methodology for Understanding Users for Designing Interactions Based on User Simulation with Cognitive Architectures....Pages 193-198
Emotional Emergence in a Symbolic Dynamical Architecture....Pages 199-204
An Integrated, Modular Framework for Computer Vision and Cognitive Robotics Research (icVision)....Pages 205-210
Insertion Cognitive Architecture....Pages 211-217
A Parsimonious Cognitive Architecture for Human-Computer Interactive Musical Free Improvisation....Pages 219-224
Cognitive Integration through Goal-Generation in a Robotic Setup....Pages 225-231
A Review of Cognitive Architectures for Visual Memory....Pages 233-238
A Model of the Visual Dorsal Pathway for Computing Coordinate Transformations: An Unsupervised Approach....Pages 239-246
Multiagent Recursive Cognitive Architecture....Pages 247-248
A Biologically-Inspired Perspective on Commonsense Knowledge....Pages 249-250
Coherence Fields for 3D Saliency Prediction....Pages 251-263
Principles of Functioning of Autonomous Agent-Physicist....Pages 265-266
Affect-Inspired Resource Management in Dynamic, Real-Time Environments....Pages 267-272
An Approach toward Self-organization of Artificial Visual Sensorimotor Structures....Pages 273-282
Biologically Inspired Methods for Automatic Speech Understanding....Pages 283-286
Modeling Structure and Dynamics of Selective Attention....Pages 287-295
How to Engineer Biologically Inspired Cognitive Architectures....Pages 297-298
An Adaptive Affective Social Decision Making Model....Pages 299-308
A Robot Uses an Evaluation Based on Internal Time to Become Self-aware and Discriminate Itself from Others....Pages 309-315
Why Neurons Are Not the Right Level of Abstraction for Implementing Cognition....Pages 317-318
Intertemporal Decision Making: A Mental Load Perspective....Pages 319-331
A Non-von-Neumann Computational Architecture Based on in Situ Representations: Integrating Cognitive Grounding, Productivity and Dynamics....Pages 333-337
A Formal Model of Neuron That Provides Consistent Predictions....Pages 339-344
Safely Crowd-Sourcing Critical Mass for a Self-improving Human-Level Learner/“Seed AI”....Pages 345-350
Unconscious Guidance of Pedestrians Using Vection and Body Sway....Pages 351-359
The Analysis of Amodal Completion for Modeling Visual Perception....Pages 361-361
Naturally Biased Associations between Colour and Shape: A Brentanian Approach....Pages 363-364
Architecture to Serve Disabled and Elderly....Pages 365-365
Bio-inspired Sensory Data Aggregation....Pages 367-368
Clifford Rotors for Conceptual Representation in Chatbots....Pages 369-370
Neurogenesis in a High Resolution Dentate Gyrus Model....Pages 371-372
A Game Theoretic Model of Neurocomputation....Pages 373-374
Back Matter....Pages 0--1
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