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Contents Preface / vii Can NLP Systems be a Cognitive Black Box? (Is Cognitive Science Relevant to AI Problems?) / 1 Jerry T. Ball CogSci to AI: It's the Brainware, Stupid! / 7 Jacob Beal and Gerald Jay Sussman New Challenges for AI in Military Simulation: Are Multilevel Heterogeneous Models the Solution? / 9 Paul Bello Cognitive Approaches to the Traveling Salesperson Problem: Perceptual Complexity that Produces Computational Simplicity / 11 Bradley J. Best Robust Inference with Simple Cognitive Models / 17 Henry Brighton For Problems Sufficiently Hard ... AI Needs CogSci / 23 Selmer Bringsjord and Micah Clark Artificial Intelligence and Cognitive Science Have the Same Problem / 27 Nicholas L. Cassimatis Multi-Modal Cognitive States: Augmenting the State in Cognitive Architectures / 33 B. Chandrasekaran A Change Detection Model for Non-Stationary k-Armed Bandit Problems / 39 Carlos Diuk, Michael Littman A Cognitive Science Based Machine Learning Architecture / 40 Sidney D’Mello, Stan Franklin, Uma Ramamurthy, and Bernard Baars In Support of Pragmatic Computation / 46 Susan L. Epstein Neither Here nor There: Inference Research Bridges the Gaps between Cognitive Science and AI / 52 Leona F. Fass v How One Can Learn Programming while Teaching Reasoning to Children with Autism / 58 Boris Galitsky and Igor Spitsberg The Relevance of Artificial Intelligence for Human Cognition / 64 Helmar Gust and Kai-Uwe Kuhnberger Simulating Intelligent Behavior Requires a Complex Approach / 70 Troy D. Kelley AI, Cognitive, and Quantum Models of Organizations: A Progress Report / 74 W. F. Lawless, Laurent Chaudron, C. P. Abubucker, C. R. Howard, and Nicole N. Kriegel Mixing Cognitive Science Concepts with Computer Science Algorithms and Data Structures: An Integrative Approach to Strong AI / 80 Moshe Looks and Ben Goertzel Cognitive Automation Solves Many AI-Hard Problems / 86 Russell R. Vane III and Douglas Griffith 4CAPS: An Adaptive Architecture for Human Information Processing / 91 Sashank Varma and Marcel Just Artificial Intelligence: What It Is, and What It Should Be / 97 Pei Wang vi