<P>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, <I>abductive </I>reasoning and partial order planning.</P><P>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.<BR><BR>This textbook is meant&nbsp;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. </P>

<P><STRONG>Part i&nbsp; The Prolog Language</STRONG>&nbsp;&nbsp;&nbsp; </P><P>&nbsp; 1&nbsp;&nbsp; Introduction to Prolog&nbsp;&nbsp;&nbsp; </P><P>&nbsp; 2&nbsp;&nbsp; Syntax and Meaning of Prolog Programs </P><P>&nbsp; 3&nbsp;&nbsp; Lists, Operators, Arithmetic&nbsp;&nbsp;&nbsp; </P><P>&nbsp; 4&nbsp;&nbsp; Programming Examples&nbsp;&nbsp;&nbsp; </P><P>&nbsp; 5&nbsp;&nbsp; Controlling Backtracking&nbsp;&nbsp;&nbsp; </P><P>&nbsp;&nbsp;6&nbsp;&nbsp; Built-in Predicates&nbsp;&nbsp;&nbsp; </P><P>&nbsp; 7&nbsp;&nbsp; Constraint Logic Programming</P><P>&nbsp; 8&nbsp;&nbsp; Programming Style and Technique&nbsp;&nbsp;&nbsp; </P><P>&nbsp;&nbsp;9&nbsp;&nbsp; Operations on Data Structures&nbsp;&nbsp;&nbsp; </P><P>10&nbsp;&nbsp; Balanced Trees&nbsp;&nbsp;&nbsp; </P><P><STRONG>Part ii&nbsp; Prolog in Artificial Intelligence</STRONG>&nbsp;&nbsp;&nbsp; </P><P>11&nbsp;&nbsp; Problem-Solving as Search </P><P>12&nbsp;&nbsp; Heuristic Search and A* Algorithm </P><P>13&nbsp;&nbsp; Best-First Search: Minimising Time and Space</P><P>14&nbsp;&nbsp; Problem Decomposition and AND/OR Graphs</P><P>15&nbsp;&nbsp; Knowledge Representation and Expert Systems&nbsp;&nbsp;&nbsp; </P><P>16&nbsp;&nbsp; Probabilistic Reasoning with Bayesian Networks</P><P>17&nbsp;&nbsp; Planning&nbsp;&nbsp;&nbsp; </P><P>18&nbsp;&nbsp; Partial order planning and GRAPHPLAN</P><P>19&nbsp;&nbsp; Scheduling, Simulation and Control with CLP</P><P>20&nbsp;&nbsp; Machine Learning&nbsp;&nbsp;&nbsp; </P><P>21&nbsp;&nbsp; Inductive Logic Programming&nbsp;&nbsp;&nbsp; </P><P>22&nbsp;&nbsp; Qualitative Reasoning&nbsp;&nbsp;&nbsp; </P><P>23&nbsp;&nbsp;&nbsp; Language Processing with Grammar Rules</P><P>24&nbsp;&nbsp;&nbsp; Game Playing</P><P>25&nbsp;&nbsp; Meta-Programming&nbsp;&nbsp;&nbsp; </P><P><EM>Appendix A: Some Differences Between Prolog Implementations&nbsp;&nbsp;&nbsp; </EM></P><P><EM>Appendix B: Some Frequently Used Predicates&nbsp;&nbsp;&nbsp; </EM></P><P><EM>Solutions to Selected Exercises&nbsp;&nbsp;&nbsp; </EM></P><P><EM>Index&nbsp; </EM></P>

Ivan Bratko

Prolog Programming for Artificial Intelligence

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Prolog Programming for Artificial Intelligence, 4th edition

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