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General Texts on Artificial Intelligence

• Boden, M. A. (1986). Artificial Intelligence and Natural Man [Second Edition]. Brighton: Harvester Press and Basic Books.

  Now somewhat dated (the second edition is identical to the first, 1977, edition, except for an additional preface and chapter) but still a good introduction to AI techniques and issues, including psychological and philosophical implications.

• Charniak, E., and McDermott, D. (1985). Introduction to Artificial Intelligence. Reading, Mass.: Addison-Wesley.

  A thorough introduction to artificial intelligence techniques, aimed at people from a mathematics or computing background. It uses LISP for its programming examples.

• Rich, E. (1983). Artificial Intelligence. New York: McGraw-Hill.

  Provides a good grounding in artificial intelligence techniques for students with a background in mathematics or computer science. Particularly good on problem solving and knowlege representation. It gives no programming examples, but uses logic and diagrammatic representations.

• Winston, P. H. (1984). Artificial Intelligence. Reading, Mass.: Addison-Wesley.

  Knowledgeable, but somewhat quirky, textbook which refelects the author's own interests. Good coverage of search and constraint propagation. No programming examples; these are contained in a companion book:

• Winston, P. H. and Horn, B. K. P. (1981). LISP. Reading, Mass.: Addison-Wesley.
• Barr, A., and Feigenbaum, E. A. (1982). The Handbook of Artificial Intelligence, Volumes I and II. Los Altos: William Kaufmann Inc.
• Cohen, P. R., and Feigenbaum, E. A. (1982). The Handbook of Artificial Intelligence, Volume III. Los Altos: William Kaufmann Inc.

  The three handbooks provide the reference guide to artificial intelligence. They are authoritative and well organized. Volume I introduces the main AI techniques; Volume II covers programming and applications of AI in science, medicine, and education; Volume III includes bits and pieces left out of the other two volumes, such as vision, planning, learning, and models of cognition.