Author: Avron Barr, Edward A. Feigenbaum, Paul R. Cohen, Department of Computer Science Stanford University

Publisher/Date: HeurisTech Press/William Kaufman Inc., 1981, 1982

ISBN: 0865760055, 0865760063, 0865760071

Format/Condition: USED ex-library hardcover books with dustjackets and mylar protectors, Usual library markings, Vol 1 & 2 front free end paper missing, Vol 3 free endpaper and title pages missing, dustjackets sunned, otherwise very good copies, covers and pages tight and clean. 409, 428, 640 pages

Description: From the dustjacket: What is a “heuristic problem-solving program?” How do com- puters understand English? What are “semantic nets” or “frames?” Can computer programs outperform human experts? Such questions-asked by scientists, engineers, students, and hobbyists encountering Artificial Intelligence for the first time-can now be readily answered by The Handbook of Artificial Intelligence, a work which makes the full scope of important techniques and concepts of AI available for the first time to the rapidly expanding world of computer technologists and users.

The scope of this handbook is broad: over two hundred short articles covering all of the important ideas, techniques, and systems developed during twenty-five years of research in the AI field. The articles are written for people with no background in AI. Some articles serve as overviews, discussing the various approaches within a subfield, the issues, and the problems. The handbook is a reference work, a textbook, a guide to programming techniques and to the extensive literature of the field, and a book for intellectual browsing. Jargon has been eliminated in each of the short, penetrating articles, and the hierarchical organization of the book allows readers to choose how deeply they wish to delve into a particular subject.

Conceived and produced at Stanford University’s Department of Computer Science, with contributions from universities and laboratories across the nation, The Handbook of Artificial Intelligence promises to become the standard reference work in the rapidly growing AI field.