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ORCIDAAAI Fall Symposium 2008 - Biologically Inspired Cognitive Architectures: Arlington, VA, USA
- Biologically Inspired Cognitive Architectures, Papers from the 2008 AAAI Fall Symposium, Arlington, Virginia, USA, November 7-9, 2008. AAAI Technical Report FS-08-04, AAAI 2008
- Alexei V. Samsonovich:
Organizing Committee. - Alexei V. Samsonovich, Shane T. Mueller:
Preface: Toward a Growing Computational Replica of the Human Mind. 1-3 - Tsvi Achler, Eyal Amir:
A Novel Classification Method Using Self-Regulatory Feedback. 4 - James S. Albus:
Reverse Engineering the Brain. 5-14 - Michael L. Anderson:
Circuit Sharing and the Implementation of Intelligent Systems. 15 - Roger Azevedo, Amy M. Witherspoon:
Detecting, Tracking, and Modeling Self-Regulatory Processes during Complex Learning with Hypermedia. 16-26 - Rosamaria E. Barone, Irene Macaluso, Lorenzo Riano, Antonio Chella:
A Brain Inspired Architecture for an Outdoor Robot Guide. 27-34 - Rajan Bhattacharyya, Narayan Srinivasa, Stephen Grossberg:
Bio-Inspired Planning and Reaching in Complex Environments. 35 - Elizabeth Boschee, Vasin Punyakanok, Ralph M. Weischedel:
An Exploratory Study Towards "Machines that Learn to Read". 36-41 - Cyril Brom, Jirí Lukavský:
Episodic Memory for Human-like Agents and Human-like Agents for Episodic Memory. 42-47 - Antonio Chella, Haris Dindo, Salvatore Gaglio:
Learning through Observation and Imitation: An Overview of the ConSCIS Architecture. 48-53 - Wei Chen, Scott E. Fahlman:
Modeling Mental Contexts and Their Interactions. 54-59 - James L. Eilbert:
The Internal World Models Needed to Perform Situation Estimation. 60 - Susan L. Epstein:
Building a Constraint Solver that Learns. 61 - Sanford T. Freedman, Julie A. Adams:
Synthetic Cognitive Agent Situational Awareness Components. 62 - Robert S. Gardner, Adam T. Vogel, Matteo Mainetti, Giorgio A. Ascoli:
Quantifying Memory Retrieval: From Neural Substrates to the Subjective Content. 63 - John S. Gero:
A Cognitively-Based Constructivist Approach to Memory and Reasoning. 64 - Ben Goertzel, Hugo de Garis:
XIA-MAN: An Extensible, Integrative Architecture for Intelligent Humanoid Robotics. 65-74 - Jaime Gómez, Ricardo Sanz, Carlos Hernández:
Cognitive Ontologies: Mapping Structure and Function of the Brain from a Systemic View. 75-76 - Claudius Gros, Gregor Kaczor:
Evolving Complete Cognitive Architectures: The Role of Neural Competition and Diffusive Emotional Control for Learning and Emergent Cognitive Capabilities. 77 - Stephen Grossberg:
Towards Self-Organizing Autonomous Brain-Inspired Cognitive Architectures. 78-79 - J. Storrs Hall:
SERVO STACKS: An Architecture for Cognitive and Developmental Robotics. 80 - Dan Hammerstrom, Mazad Zaveri:
Bayesian Memory, a Possible Hardware Building Block for Intelligent Systems. 81 - Eva Hudlicka:
Modeling the Mechanisms of Emotion Effects on Cognition. 82-86 - Christian R. Huyck, Hina Ghalib:
A Neuropsychological Framework for Advancing Artificial Intelligence. 87 - Michael Kandefer, Stuart C. Shapiro:
A Categorization of Contextual Constraints. 88-93 - Deepak Khosla, David J. Huber:
Perceptive Machines: From Selective Attention and Recognition to Visual Cognition. 94-95 - Paul Kogut, Norris Heintzelman, Greg Stachnick:
Applications of BICA to Intelligence Analysis. 96-97 - Christian Lebiere, Randall C. O'Reilly, David J. Jilk, Niels Taatgen, John R. Anderson:
The SAL Integrated Cognitive Architecture. 98-104 - András Lörincz:
Hippocampal Formation Breaks Combinatorial Explosion for Reinforcement Learning: A Conjecture. 105-110 - Omid Madani:
Systems Learning for Complex Pattern Problems. 111-112 - Evguenia Malaia, Ronnie B. Wilbur:
The Biological Bases of Syntax-Semantics Interface in Natural Languages: Cognitive Modeling and Empirical Evidence. 113-116 - Shane T. Mueller, Brandon S. Minnery:
Adapting the Turing Test for Embodied Neurocognitive Evaluation of Biologically-Inspired Cognitive Agents. 117-126 - Sergei Nirenburg, Marjorie McShane, Stephen Beale:
A Simulated Physiological/Cognitive "Double Agent". 127-134 - David C. Noelle:
Function Follows Form: Biologically Guided Functional Decomposition of Memory Systems. 135-139 - Daniel Oblinger:
Towards an Adaptive Intelligent Agent. 140 - Don Perlis:
To BICA and Beyond: RAH-RAH-RAH! - or - How Biology and Anomalies Together Contribute to Flexible Cognition. 141-145 - Roberto Pirrone, Vincenzo Cannella, Giuseppe Russo:
Awareness Mechanisms for an Intelligent Tutoring System. 146-151 - Art Pope, Pat Langley:
CASTLE: A Framework for Integrating Cognitive Models into Virtual Environments. 152 - Philipp Rohlfshagen, Joanna J. Bryson:
Improved Animal-Like Maintenance of Homeostatic Goals via Flexible Latching. 153-160 - Brandon Rohrer:
A Unified Architecture for Cognition and Motor Control Based on Neuroanatomy, Psychophysical Experiments, and Cognitive Behaviors. 161 - Alexei V. Samsonovich, Anastasia Kitsantas, Nada Dabbagh:
Cognitive Constructor: A Biologically-Inspired Self-Regulated Learning Partner. 162-167 - Ricardo Sanz, Jaime Gómez, Carlos Hernández, Adolfo Hernando:
A Principled Approach for Systematic Mind Engineering. 168 - Walter Schneider, Michael W. Cole, Sudhir K. Pathak:
Reverse Engineering the Brain with a Circuit Diagram Based on a Segmented Connectome and System Dynamics. 169-173 - Josefina Sierra, Josefina Santibáñez:
Grounded Language Acquisition Enables Intuitive Reasoning. 174-179 - Les Sikos, Susan Windisch Brown, Albert E. Kim, Laura A. Michaelis, Martha Palmer:
Figurative Language: "Meaning" is Often More than Just a Sum of the Parts. 180-185 - Narayan Srinivasa, Stephen Grossberg:
Learning Invariant Sensory-Motor Transforms for Fault-Tolerant Control of Redundant Robots. 186 - James J. Staszewski:
Cognitive Models of Human Expertise and their Scientific and Practical Value. 187 - Knud Thomsen:
The Ouroboros Model. 188 - Rodrigo Ventura:
Action and Adaptation: Lessons from Neurobiology and Challenges for Robot Cognitive Architectures. 189-194 - Mark R. Waser:
Discovering the Foundations of a Universal System of Ethics as a Road to Safe Artificial Intelligence. 195-200 - Jeremy L. Wyatt, Nick Hawes:
Multiple Workspaces as an Architecture for Cognition. 201-
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