The third edition ofthis best-selling guide to Prolog and Artificial Intelligence hasbeen updated to include key developments in the field whileretaining its lucid approach to these topics. Prolog has its rootsin logic, however the main aim of this book is to teach Prolog as apractical programming tool. This text therefore concentrates on theart of using the basic mechanisms of Prolog to solve interestingproblems. For Sale in Indiansubcontinent only 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 on the World Wide Web. Constraint Logic Programming Qualitative Reasoning Inductive Logic Programming The addition of belief networks for handling uncertainty A major update on machine learning Additional techniques for improving Program efficiency Meta-programming is updated to show how Prolog can be used to implement other languages (including object-oriented programming) A new Companion Web site will contain further teaching materials and updates The Prolog Language Introduction to Prolog Syntax and Meaning of Prolog Programs Lists, Operators, Arithmetic Using Structures: Example Programs Controlling Backtracking Input and Output More Built-in Predicates Programming Style and Techniques Operations on Data Structures Prolog in Artificial Intelligence Basic Problem-Solving Strategies Best-First Heuristic Search Problem Decomposition and AND/OR Graphics Constraint Logic Programming Knowledge Representation and Expert Systems An Expert System Shell Planning Machine Learning Inductive Logic Programming Qualitative Reasoning Language Processing with Grammar Rules Game Playing Meta-Programming About the Author Professor Ivan Bratko leads the AI groups in the Faculty of Computer and Information Science at both Ljubljana University and the Jozef Stefan Institute in Slovenia.