Artificial Intelligence
Strategies, Applications, and Models Through SEARCH, Second Edition
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 1 January 1998
- ISBN 9781888998375
- Binding Hardback
- No. of pages pages
- Size 247x158x19 mm
- Weight 635 g
- Language English 0
Categories
Short description:
Completely revised and updated
Artificial intelligence (AI) receives a comprehensive examination - though the unifying thread of SEARCH - bringing together the major techniques used in symbolic Artificial Intelligence. The authors avoid the pitfalls of being too general or too academic by including program code to illustrate concepts. Code is offered in both POP - 11 and Prolog.
A precise discussion on Artificial Intelligence through SEARCH awaits AI users, advanced students, academics and professionals.Each of the eleven chapters covers a search technique, and is divided into three sections:
Comprehensive yet practical, Artificial Intelligence: Strategies, Applications and Models through SEARCH, Second Edition is expanded and updated from the original.
Long description:
Completely revised and updated
Artificial intelligence (AI) receives a comprehensive examination - though the unifying thread of SEARCH - bringing together the major techniques used in symbolic Artificial Intelligence. The authors avoid the pitfalls of being too general or too academic by including program code to illustrate concepts. Code is offered in both POP - 11 and Prolog.
A precise discussion on Artificial Intelligence through SEARCH awaits AI users, advanced students, academics and professionals.Each of the eleven chapters covers a search technique, and is divided into three sections:
Comprehensive yet practical, Artificial Intelligence: Strategies, Applications and Models through SEARCH, Second Edition is expanded and updated from the original.
Table of Contents:
Search-Related Techniques in AI.
Simple State Space Search.
State Space Search.
Heuristic State Space Search.
Heuristic Search of Game Trees.
Problem Reduction (AND/OR-tree search).
Planning (microworld search).
Parsing (search as analysis).
Expert Systems (probabilistic search).
Concept Learning (description search).
Prolog (search as computation).
References.
Appendix A: Introduction to POP-11.
Index.
Appendix B: Where to Get the Source Code.
Artificial Intelligence: Strategies, Applications, and Models Through SEARCH, Second Edition
20 538 HUF
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