Artificial Intelligence Through Search by Chris ThorntonArtificial Intelligence Through Search by Chris Thornton

Artificial Intelligence Through Search

byChris Thornton, Benedict Du Boulay

Paperback | September 27, 2012

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This is an important textbook on artificial intelligence that uses the unifying thread of search to bring together most of the major techniques used in symbolic artificial intelligence. The authors, aware of the pitfalls of being too general or too academic, have taken a practical approach in that they include program code to illustrate their ideas. Furthermore, code is offered in both POP-11 and Prolog, thereby giving a dual perspective, highlighting the merits of these languages.
Each chapter covers one technique and divides up into three sections:
  • a section which introduces the technique (and its usual applications) andsuggests how it can be understood as a variant/generalisation of search;
  • a section which developed a `low'-level (POP-11) implementation;
  • a section which develops a high-level (Prolog) implementation of the technique.
The authors also include useful notes on alternative treatments to the material, further reading and exercises.
As a practical book it will be welcomed by a wide audience including, those already experienced in AI, students with some background in programming who are taking an introductory course in AI, and lecturers looking for a precise, professional and practical text book to use in their AI courses.
About the authors:
Dr Christopher Thorntonhas a BA in Economics, an Sc in Computer Science and a DPhil in Artificial Intelligence. Formerly a lecturer in the Department of AI at the University of Edinburgh, he is now a lecturer in AI in the School of Cognitive and Computing Sciences at the University of Sussex.
Professor Benedict du Boulayhas a BSc in Physics and a PhD in Artificial Intelligence. Previously a lecturer in the Department of Computing Science at the University of Aberdeen he is currently Professor of Artificial Intelligence, also in the School of Cognitive and Computing Sciences, University of Sussex.
Title:Artificial Intelligence Through SearchFormat:PaperbackDimensions:365 pages, 29.7 × 21 × 0.17 inPublished:September 27, 2012Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:9401052603

ISBN - 13:9789401052603

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Table of Contents

1. Search-Related Techniques in AI. 2. Simple State Space Search. 3. State-Space Search. 4. Heuristic State-Space Search. 5. Heuristc Search of Game Trees. 6. Problem Reduction (AND/OR-Tree Search). 7. Planning (Microworld Search). 8. Parsing (Search as Analysis). 9. Expert Systems (Probabilistic Search). 10. Concept Learning (Extension-Generating Search). 11. Prolog (Search as Computation). 12. References. Introduction to POP-11 Programming. Index.