Prolog Programming for Artificial Intelligence, 4th edition

Ivan Bratko University of Ljubljana

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The fourth edition of this best-selling guide to Prolog and Artificial Intelligence has been updated to include key developments in the field while retaining its lucid approach to these topics. New and extended topics include Constraint Logic Programming, abductive reasoning and partial order planning.

Divided into two parts, the first part of the book introduces the programming language Prolog, while the second part teaches Artificial Intelligence using Prolog as a tool for the implementation of AI techniques.
This textbook is meant to teach Prolog as a practical programming tool and so it concentrates on the art of using the basic mechanisms of Prolog to solve interesting problems. The fourth edition has been fully revised and extended to provide an even greater range of applications, making it a self-contained guide to Prolog, AI or AI Programming for students and professional programmers.

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

Coverage of Constraint Logic Programming (CLP) is extended and now introduced earlier in the book, in the Prolog part.
Most of the existing chapters on AI techniques have been systematically improved and updated
Coverage of planning methods is deepened in a new chapter that includes implementations of partial order planning and the GRAPHPLAN approach
The treatment of search methods now includes an RTA* program (real-time A* search)
The chapter on meta-pogramming (now chapter 25) is extended by abductive reasoning, query-the-user facility, and a sketch of CLP interpreter, all implemented as Prolog meta-interpreters
Programming examples are refreshed throughout the book, making them more interesting and practical. One such example introduces semantic reasoning with the well-known lexical database WordNet®.

Part i The Prolog Language

1 Introduction to Prolog

2 Syntax and Meaning of Prolog Programs

3 Lists, Operators, Arithmetic

4 Programming Examples

5 Controlling Backtracking

6 Built-in Predicates

7 Constraint Logic Programming

8 Programming Style and Technique

9 Operations on Data Structures

10 Balanced Trees

Part ii Prolog in Artificial Intelligence

11 Problem-Solving as Search

12 Heuristic Search and A* Algorithm

13 Best-First Search: Minimising Time and Space

14 Problem Decomposition and AND/OR Graphs

15 Knowledge Representation and Expert Systems

16 Probabilistic Reasoning with Bayesian Networks

17 Planning

18 Partial order planning and GRAPHPLAN

19 Scheduling, Simulation and Control with CLP

20 Machine Learning

21 Inductive Logic Programming

22 Qualitative Reasoning

23 Language Processing with Grammar Rules

24 Game Playing

25 Meta-Programming

Appendix A: Some Differences Between Prolog Implementations

Appendix B: Some Frequently Used Predicates

Solutions to Selected Exercises

Index

Professor Ivan Bratko leads the AI Lab in the Faculty of Computer and Information Science at Ljubljana University. He has taught Prolog world-wide as well as applying Prolog in medical expert systems, robot programming, qualitative modelling and computer chess research.

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