AAAI Fall Symposium: Biologically Inspired Cognitive Architectures

Keyphrases

Publications

2009

Pei Wang
Insufficient Knowledge and Resources - A Biological Constraint and Its Functional Implications. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Theodore W. Berger, Dong Song, Vasilis Z. Marmarelis
Multi-Input, Multi-Output Nonlinear Dynamic Modeling to Identify Biologically-Based Transformations as the "Cognitive Processes" Represented by the Ensemble Coding of Neuron Populations. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Biologically Inspired Cognitive Architectures, Papers from the 2009 AAAI Fall Symposium, Arlington, Virginia, USA, November 5-7, 2009 AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Mark R. Waser
A Safe Ethical System for Intelligent Machines. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Rodrigo Ventura
Emotions: a Bridge Between Nature and Society? AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Walter Schneider, Sudhir Pathak, Jeffrey S. Phillips, Micahel Cole
High Definition Fiber Tracking Exposes Circuit Diagram for Brain Showing Triarchic Representation, Domain General Control, and Metacognitive Subsystems. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
James L. Eilbert
Biologically-Inspired Approach to Recognizing Dangerous Objects. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Diane Gromala, Chris Shaw, Meehae Song
Chronic Pain and the Modulation of Self in Immersive Virtual Reality. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Kristinn R. Thórisson
From Constructionist to Constructivist A.I. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis
Assessing and Characterizing the Cognitive Power of Machine Consciousness Implementations. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Jaime Gómez, Ricardo Sanz
To Cognize Is to Categorize Revisited: Category Theory Is where Mathematics Meets Biology. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
James A. Reggia, Jared Sylvester, Scott A. Weems, Michael F. Bunting
A Simple Oscillatory Short-Term Memory. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Antonio Chella, Haris Dindo, Daniele Zambuto
Grounded Human-Robot Interaction. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Frank E. Ritter, Sue E. Kase, Laura Cousino Klein, Jeanette Bennett, Michael J. Schoelles
Fitting a Model to Behavior Tells Us What Changes Cognitively when under Stress and with Caffeine. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Colin T. A. Schmidt, Olivier Nannipieri, Simon Richir
Identity and Virtual Reality: A Uchronic Approach. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Alexei V. Samsonovich
The Constructor Metacognitive Architecture. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Stephen Grossberg
Autonomous Adaptive Brain Systems and Neuromorphic Agents. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Ali A. Minai, Laxmi R. Iyer, Divyachapan Padur, Simona Doboli, Vincent R. Brown
Graded Attractors: Configuring Context-Dependent Workspaces for Ideation. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Owen Holland, Hugo Gravato Marques
Functional Embodied Imagination and Episodic Memory. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Hans-Georg Stork
Towards a Scientific Foundation for Engineering Cognitive Systems. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Jim Staszewski
Applied Cognitive Models of Frequency-based Decision Making. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Neha Khetapal
Virtual Reality: New Methodology for Investigating the Self. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Bernard J. Baars
Is Consciousness Computationally Functional? AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Karl Cheng-Heng Fua, Ian Horswill, Andrew Ortony, William Revelle
Reinforcement Sensitivity Theory and Cognitive Architectures. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Antonio Chella, Massimo Cossentino, Valeria Seidita
Towards a Methodology for Designing Artificial Conscious Robotic Systems. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Benjamin Kuipers
Toward Bootstrap Learning of the Foundations of Commonsense Knowledge. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
David Gamez, Igor Aleksander
Taking a Mental Stance Towards Artificial Systems. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Konstantin K. Likharev
Biologically Inspired Computing in CMOL CrossNets. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Alexei V. Samsonovich, David C. Noelle, Shane T. Mueller
Preface. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Rafal Rzepka, Radoslaw Komuda, Kenji Araki
Bacteria Lingualis in The Knowledge Soup - A Webcrawler with Affect Recognizer for Acquiring Artificial Empathy. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Itamar Arel, Derek C. Rose, Robert Coop
DeSTIN: A Scalable Deep Learning Architecture with Application to High-Dimensional Robust Pattern Recognition. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Igor Aleksander, David Gamez
Iconic Training and Effective Information: Evaluating Meaning in Discrete Neural Networks. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Robert S. Gardner, Matteo Mainetti, Giorgio A. Ascoli
Measuring Rates of Human Memory Retrieval. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Brandon Rohrer
Concepts from Data. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Michal Ptaszynski, Rafal Rzepka, Kenji Araki
A Pragmatic Approach to Implementation of Emotional Intelligence in Machines. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Stuart C. Shapiro, Jonathan P. Bona
The GLAIR Cognitive Architecture. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Javier Snaider, Ryan James McCall, Stan Franklin
Time Production and Representation in a Conceptual and Computational Cognitive Model. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Pablo Enrique Román, Juan Domingo Velásquez
Analysis of the Web User Behavior with a Psychologically-Based Diffusion Model. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Christian Robert Huyck, Emma Louise Byrne
Questions Arising from a Proto-Neural Cognitive Architecture. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Carol L. O'Donnell, Jonathan Levy
Funding Opportunities for Cognitive and Computer Scientists through the Institute of Education Sciences. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Carman Neustaedter, Elena Alexandrovna Fedorovskaya
Avatar Appearances and Representation of Self: Learning from Second Life¨. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
John J. Kelly
A Progression of Cognitive Frameworks. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Andrea Stocco, Christian Lebiere, John Robert Anderson
Dopamine, Learning, and Production Rules: The Basal Ganglia and the Flexible Control of Information Transfer in the Brain. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Magnus Johnsson, Christian Balkenius, Germund Hesslow
Neural Network Architecture for Crossmodal Activation and Perceptual Sequences. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Ben Goertzel, Deborah Duong
OpenCog NS: A Deeply-Interactive Hybrid Neural-Symbolic Cognitive Architecture Designed for Global/Local Memory Synergy. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Vasile Coman
Back to the Basics - Redefining Information, Knowledge, Intelligence, and Artificial Intelligence Using Only the Adaptive Systems Theory. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Steven Brian Morphet
An Engineering View of Cognitive Architectures. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Peter G. Burton
Investigating the Acquisition and Control-Structure of the Human Mind. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Josefina Sierra, Josefina Santibáñez
Experiments on the Acquisition of Cognitive and Linguistic Competence to Communicate Propositional Logic Sentences. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Meehae Song, Diane Gromala
Ecstasis: Walking to Mindful Awareness. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)