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Prolog Programming for Artificial Intelligence, 4th edition

  • Ivan Bratko
Prolog Programming for Artificial Intelligence

ISBN-13: 9780321417466

Includes: Paperback

4th edition

Published by Pearson Canada (August 24th 2011) - Copyright © 2012

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What's included

  • Paperback

    You'll get a bound printed text.

Overview

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.

Table of contents

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 

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