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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