PROLOG: Programming for Artificial Intelligence

B> This best-selling guide to Prolog has been fully revised and extended to provide an even greater range of applications, enhancing its value as a stand-alone guide to Prolog, artificial intelligence, or AI programming. Ivan Bratko discusses natural language processing with grammar rules, planning, and machine learning. The coverage of meta-programming includes meta-interpreters and object-oriented programming in Prolog. The new edition includes coverage of: constraint logic programming; qualitative reasoning; inductive logic programming; recently developed algorithms; belief networks for handling uncertainty; and a major update on machine learning. This book is aimed at programmers who need to learn AI programming. 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. 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 -- 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. Ivan Bratko. Includes Bibliographical References And Index. This edition discusses natural language processing with grammar rules, planning and machine learning, and includes coverage of meta-programming, meta-interpreters and object-oriented programming in Prolog