000			03182nam a22002297a 4500
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003			VITAP
005			20201202161155.0
008			190121b ||||| |||| 00| 0 eng d
020			_a9788131711347
040			_cVITAP
082			_223rd Ed. _a006.302855133 BRA
100			_910262 _aBratko, Ivan
245			_aProlog : _bProgramming for Artificial Intelligence / _cIvan Bratko
250			_a3rd Ed.
260			_aNoida _bPearson India Education Services Pvt. Ltd. _c2007
300			_axxi, 678p. : ill. ; 24cm
500			_aIt includes Appendix, Solutions to Selected Exercises and index pages.
521			_aThe 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. 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. Table of Content 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. Salient Features 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
650		0	_910300 _aProlog (Computer program language); Artificial intelligence--Data processing
856			_uhttps://pearsoned.co.in/web/books/9788131711347_PROLOG_Ivan-Bratko.aspx
942			_2ddc _cREF _e23rd Ed. _h006.302855133 BRA