Biologically Inspired Cognitive Architectures
Papers from the 2008 AAAI Fall Symposium
Alexei V. Samsonovich Program Chair
Technical Report FS-08-04. Published by The AAAI Press, Menlo Park, California
This technical report is also available in book and CD format.
Please Note: Abstracts are linked to individual titles, and will appear in a separate browser window. Full-text versions of the papers are linked to the abstract text. Access to full text may be restricted to AAAI members. PDF file sizes may be large!
Contents
Organizing Committee / iii
Alexei V. Samsonovich
Preface: Toward a Growing Computational Replica of the Human Mind / 1
Alexei V. Samsonovich and Shane T. Mueller
A Novel Classification Method Using Self-Regulatory Feedback / 4
Tsvi Achler, Eyal Amir
Reverse Engineering the Brain / 5
James S. Albus
Circuit Sharing and the Implementation of Intelligent Systems / 15
Michael L. Anderson
Detecting, Tracking, and Modeling Self-Regulatory Processes during Complex Learning with Hypermedia / 16
Roger Azevedo, Amy M. Witherspoon
A Brain Inspired Architecture for an Outdoor Robot Guide / 27
Rosamaria Barone, Irene Macaluso, Lorenzo Riano, Antonio Chella
Bio-Inspired Planning and Reaching in Complex Environments / 35
Rajan Bhattacharyya, Narayan Srinivasa, Stephen Grossberg
An Exploratory Study Towards “Machines that Learn to Read” / 36
Elizabeth Boschee, Vasin Punyakanok, Ralph Weischedel
Episodic Memory for Human-like Agents and Human-like Agents for Episodic Memory / 42
Cyril Brom, Jirí Lukavsky
Learning through Observation and Imitation: An Overview of the ConSCIS Architecture / 48
Antonio Chella, Haris Dindo, Salvatore Gaglio
Modeling Mental Contexts and Their Interactions / 54
Wei Chen, Scott E. Fahlman
The Internal World Models Needed to Perform Situation Estimation / 60
James L Eilbert
Building a Constraint Solver that Learns / 61
Susan L. Epstein
Synthetic Cognitive Agent Situational Awareness Components / 62
Sanford T. Freedman, Julie A. Adams
Quantifying Memory Retrieval: From Neural Substrates to the Subjective Content / 63
Robert S. Gardner, Adam T. Vogel, Matteo Mainetti, Giorgio A. Ascoli
A Cognitively-Based Constructivist Approach to Memory and Reasoning / 64
John S. Gero
XIA-MAN: An Extensible, Integrative Architecture for Intelligent Humanoid Robotics / 65
Ben Goertzel, Hugo de Garis
Cognitive Ontologies: Mapping Structure and Function of the Brain from a Systemic View / 75
Jaime Gómez, Ricardo Sanz, Carlos Hernández
Evolving Complete Cognitive Architectures: The Role of Neural Competition and Diffusive Emotional Control for Learning and Emergent Cognitive Capabilities / 77
Claudius Gros and Gregor Kaczor
Towards Self-Organizing Autonomous Brain-Inspired Cognitive Architectures / 78
Stephen Grossberg
SERVO STACKS: An Architecture for Cognitive and Developmental Robotics / 80
J. Storrs Hall
Bayesian Memory, a Possible Hardware Building Block for Intelligent Systems / 81
Dan Hammerstrom, Mazad Zaveri
Modeling the Mechanisms of Emotion Effects on Cognition / 82
Eva Hudlicka
A Neuropsychological Framework for Advancing Artificial Intelligence / 87
Christian R. Huyck, Hina Ghalib
A Categorization of Contextual Constraints / 88
Michael Kandefer, Stuart C. Shapiro
Perceptive Machines: From Selective Attention and Recognition to Visual Cognition / 94
Deepak Khosla and David J. Huber
Applications of BICA to Intelligence Analysis / 96
Paul Kogut, Norris Heintzelman, Greg Stachnick
The SAL Integrated Cognitive Architecture / 98
Christian Lebiere, Randall O’Reilly, David J. Jilk, Niels Taatgen, John R. Anderson
Hippocampal Formation Breaks Combinatorial Explosion for Reinforcement Learning: A Conjecture / 105
András Lorincz
Systems Learning for Complex Pattern Problems / 111
Omid Madani
The Biological Bases of Syntax-Semantics Interface in Natural Languages: Cognitive Modeling and Empirical Evidence / 113
E. Malaia, R. B. Wilbur
Adapting the Turing Test for Embodied Neurocognitive Evaluation of Biologically-Inspired Cognitive Agents / 117
Shane T. Mueller and Brandon S. Minnery
A Simulated Physiological/Cognitive “Double Agent” / 127
Sergei Nirenburg, Marjorie McShane, Stephen Beale
Function Follows Form: Biologically Guided Functional Decomposition of Memory Systems / 135
David C. Noelle
Towards an Adaptive Intelligent Agent / 140
Daniel Oblinger
To BICA and Beyond: RAH-RAH-RAH! — or — How Biology and Anomalies Together Contribute to Flexible Cognition / 141
Don Perlis
Awareness Mechanisms for an Intelligent Tutoring System / 146
Roberto Pirrone, Vincenzo Cannella, Giuseppe Russo
CASTLE: A Framework for Integrating Cognitive Models into Virtual Environments / 152
Art Pope, Pat Langley
Improved Animal-Like Maintenance of Homeostatic Goals via Flexible Latching / 153
Philipp Rohlfshagen, Joanna J. Bryson
A Unified Architecture for Cognition and Motor Control Based on Neuroanatomy, Psychophysical Experiments, and Cognitive Behaviors / 161
Brandon Rohrer
Cognitive Constructor: A Biologically-Inspired Self-Regulated Learning Partner / 162
Alexei V. Samsonovich, Anastasia Kitsantas, Nada Dabbagh
A Principled Approach for Systematic Mind Engineering / 168
Ricardo Sanz, Jaime Gómez, Carlos Hernández, Adolfo Hernando
Reverse Engineering the Brain with a Circuit Diagram Based on a Segmented Connectome and System Dynamics / 169
Walter Schneider, Michael Cole, Sudhir Pathak
Grounded Language Acquisition Enables Intuitive Reasoning / 174
Josefina Sierra, Josefina Santibáñez
Figurative Language: “Meaning” is Often More than Just a Sum of the Parts / 180
Les Sikos, Susan Windisch Brown, Albert E. Kim, Laura A. Michaelis, and Martha Palmer
Learning Invariant Sensory-Motor Transforms for Fault-Tolerant Control of Redundant Robots / 186
Narayan Srinivasa, Stephen Grossberg
Cognitive Models of Human Expertise and their Scientific and Practical Value / 187
James J. Staszewski
The Ouroboros Model / 188
Knud Thomsen
Action and Adaptation: Lessons from Neurobiology and Challenges for Robot Cognitive Architectures / 189
Rodrigo Ventura
Discovering the Foundations of a Universal System of Ethics as a Road to Safe Artificial Intelligence / 195
Mark R. Waser
Multiple Workspaces as an Architecture for Cognition / 201
Jeremy L Wyatt, Nick Hawes
AAAI Digital Library
AAAI relies on your generous support through membership and donations. If you find these resources useful, we would be grateful for your support.