Table of Contents

Introduction to Cognitive Science:
Intelligence and the Roots of Cognitive Science.
Vocabularies for Describing Intelligence.
Representation Schemes.
Constraining the Architecture of Minds.
Natural Intelligence: Brain Function.
Symbol Based Representation and Search:
Network and Structured Representation Schemes.
Logic Based Representation and Reasoning.
Search Strategies for Weak Method Problem Solving.
Using Knowledge and Strong Method Problem Solving.
Machine Learning:
Explicit Symbol Based Learning Models.
Connectionist Networks: History, The Perception, and Backpropagation.
Competitive, Reinforcement, and Attractor Learning Models.
Language:
Language Representation and Processing.
Pragmatics and Discourse.
Building Cognitive Representations in PROLOG:
PROLOG as Representation and Language.
Creating Meta-Interpreters in PROLOG.
Epilogue:
Cognitive Science: Problems and Promise.
References.
Index.