Prolog Programming for Artificial Intelligence (with toc)

✍ Scribed by Ivan Bratko

• Publisher: Pearson Education Canada
• Year: 2011
• Tongue: English
• Leaves: 697
• Edition: 4
• Category: Library

✦ Synopsis

This best-selling guide to Prolog and Artificial Intelligence, which has been updated to include key developments in the field, concentrates on the art of using the basic mechanisms of Prolog to solve interesting AI problems.

• Combined approach to Prolog and AI allows flexibility for learning and teaching.
• Provides a thorough representation of AI, emphasizing practical techniques and Prolog implementations.
• Prolog programs for use in projects and research are available for download from the companion website http://www.pearsoned.co.uk/bratko

✦ Table of Contents

Part i The Prolog Language 3
1 Introduction to Prolog 3
2 Syntax and Meaning of Prolog Programs 32
3 Lists, Operators, Arithmetic 60
4 Programming Examples 86
5 Controlling Backtracking 126
6 Built-in Predicates 143
7 Constraint Logic Programming 177
8 Programming Style and Technique 197
9 Operations on Data Structures 221
10 Balanced Trees 246
Part ii Prolog in Artificial Intelligence 259
11 Problem-Solving as Search 261
12 Heuristic Search and A* Algorithm 280
13 Best-First Search: Minimising Time and Space 301
14 Problem Decomposition and AND/OR Graphs 318
15 Knowledge Representation and Expert Systems 343
16 Probabilistic Reasoning with Bayesian Networks 370
17 Planning 385
18 Partial order planning and GRAPHPLAN 406
19 Scheduling, Simulation and Control with CLP 429
20 Machine Learning 446
21 Inductive Logic Programming 489
22 Qualitative Reasoning 522
23 Language Processing with Grammar Rules 554
24 Game Playing 578
25 Meta-Programming 606
Appendix A: Some Differences Between Prolog Implementations 641
Appendix B: Some Frequently Used Predicates 643
Solutions to Selected Exercises 646
Index 665