ARTIFICIAL INTELLIGENCE Strategies, Applications, and Models Through Search Second Edition This innovative new book on artificial intelligence (AI) uses the unifying thread of SEARCH to bring together the major application and modeling techniques that use symbolic AI. Each of the eleven chapters is divided into three sections: ** a section which introduces the technique ** a section which develops a low-level (POP-11) implementation ** a section which develops a high-level (Prolog) implementation Comprehensive yet practical, this book will be of great value to those experienced in AI, as well as to students with some programming background and academics and professionals looking for a precise discussion of artificial intelligence through SEARCH.
Author(s): Christopher Thornton, Benedict du Boulay
Edition: 2 Sub
Publisher: AMACOM
Year: 1999
Language: English
Pages: 396
Cover......Page 1
Title Page......Page 2
Foreword......Page 3
Contents......Page 4
Table of Figures......Page 15
1 Search-Related Techniques in AI......Page 25
2 Simple State Space Search......Page 38
3 State Space Search......Page 67
4 Heuristic State Space Search......Page 96
5 Heuristic Search of Game Trees......Page 132
6 Problem Reduction (AND/OR-Tree Search)......Page 159
7 Planning (Microworld Search)......Page 199
8 Parsing (Search as Analysis)......Page 227
9 Expert Systems (probablistic search)......Page 267
10 Concept Learning (Description Search)......Page 291
11 Prolog (Search as Computation)......Page 316
References......Page 344
APPENDIX A......Page 348
Index......Page 383
