Prolog programming for artificial intelligence

Author(s)

Bibliographic Information

Prolog programming for artificial intelligence

Ivan Bratko

(International computer science series)

Addison Wesley, c2001

3rd ed

Available at  / 13 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

The third 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. 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. Prolog has its roots in logic, however the main aim of this book is to teach Prolog as a practical programming tool. This text therefore concentrates on the art of using the basic mechanisms of Prolog to solve interesting problems. The third edition has been fully revised and extended to provide an even greater range of applications, which further enhance its value as a self-contained guide to Prolog, AI or AI Programming for students and professional programmers alike.

Table of Contents

I. THE PROLOG LANGUAGE 1. Introduction to Prolog 2. Syntax and Meaning of Prolog Programs 3. Lists, Operators, Arithmetic 4. Using Structures: Example Programs 5. Controlling Backtracking 6. Input and Output 7. More Built-In Predicates 8. Programming Style and Technique 9. Operations on Data Structures 10. Advanced Tree Representations II. PROLOG IN ARTIFICIAL INTELLIGENCE 11. Basic Problem -Solving Strategies 12. Best-First Heuristic Search 13. Problem Decomposition and AND/OR Graphs 14. Constraint Logic Programming 15. Knowledge Representation and Expert Systems 16. An Expert System Shell 17. Planning 18. Machine Learning 19. Inductive Logic Programming 20. Qualitative Reasoning 21. Language Processing With Grammar Rules 22. Game Playing 23. Meta Programming

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