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The Handbook of artificial intelligence

Author: Avron Barr; Edward A Feigenbaum; Paul R Cohen
Publisher: Stanford, Calif. : HeurisTech Press, ©1981-<©1989>
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
What is a "heuristic problem-solving program?" How do computers 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  Read more...
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Additional Physical Format: Online version:
Handbook of artificial intelligence.
Stanford, Calif. : HeurisTech Press, ©1981-<c1989>
(OCoLC)643873253
Document Type: Book
All Authors / Contributors: Avron Barr; Edward A Feigenbaum; Paul R Cohen
ISBN: 0865760047 9780865760042 0201518198 9780201518191 0201517310 9780201517316 086576090X 9780865760905 0865760896 9780865760899 0865760888 9780865760882 0865760918 9780865760912 0865760071 9780865760073
OCLC Number: 7196612
Notes: Vol. <4-> edited by Avron Barr, Paul R. Cohen, and Edward A. Feigenbaum.
Vol. <2, 4> have imprint: Reading, Mass. : Addison-Wesley Pub. Co.
Description: volumes <1-2, 4> : illustrations ; 24 cm
Contents: Vol. 4 / edited by Avron Barr, Paul R. Cohen and Edward A. Feigenbaum. 1989. V.1. Search ; Knowledge representation ; Understanding natural language ; Understanding spoken language --
V.2. Programming languages for AI research ; Applications-oriented AI research: science ; Applications-oriented AI research: medicine ; Applications-oriented research: education ; Automatic programming --
V.3. Models of cognition ; Automatic deduction ; Vision ; Learning and inductive inference ; Planning and problem solving --
V.4. Blackboard systems ; Cooperative distributed problem solving ; Fundamentals of expert systems ; Natural language understanding ; Knowledge-based software engineering ; Qualitative physics ; Knowledge-based simulation ; Computer vision update.
Responsibility: edited by Avron Barr and Edward A. Feigenbaum.

Abstract:

What is a "heuristic problem-solving program?" How do computers 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 200 short articles covering all of the important ideas, techniques, and systems developed during 25 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. - Jacket.

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