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.