The Handbook of Artificial Intelligence

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Last edited by Bryan Tyson
October 11, 2017 | History

The Handbook of Artificial Intelligence

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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.

Publish Date
Publisher
HeurisTech Press
Language
English

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Previews available in: English

Edition Availability
Cover of: The Handbook of Artificial Intelligence
The Handbook of Artificial Intelligence
1981, HeurisTech Press
Hardcover in English

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Book Details


Published in

Stanford, CA

Table of Contents

Volume one.
Introduction
Search
Knowledge representation
Understanding natural language
Understanding spoken language
Volume two.
Programming languages for AI research
Applications-oriented AI research : science
Applications-oriented AI research : medicine
Applications-oriented research : education
Automatic programming
Volume three.
Models of cognition
Automatic deduction
Vision
Learning and inductive inference
Planning and problem solving
Volume four.
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

Edition Notes

Includes bibliographies and indexes.
Vol. <4- > edited by Avron Barr, Paul R. Cohen, and Edward A. Feigenbaum.
Vol. <2, 4 > have imprint: Reading, Mass. : Addison-Wesley Pub. Co.

Classifications

Dewey Decimal Class
006.3
Library of Congress
Q335 .H36

The Physical Object

Format
Hardcover
Pagination
4 v.
Dimensions
24 x x centimeters

ID Numbers

Open Library
OL4113500M
Internet Archive
handbookofartif01barr
ISBN 10
0865760047
ISBN 13
9780865760042
LCCN
80028621
Library Thing
7642094
Goodreads
4804184

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
October 11, 2017 Edited by Bryan Tyson Added new cover
October 11, 2017 Edited by Bryan Tyson Update covers
October 11, 2017 Edited by Bryan Tyson Edited without comment.
October 11, 2017 Edited by Bryan Tyson Edited without comment.
April 1, 2008 Created by an anonymous user Imported from Scriblio MARC record.