Luger, George F. <br/><br/>
Artificial intelligence :    structures and strategies for complex problem solving /  
George F. Luger. 
 - 6th ed. 
 - Boston :    Pearson Addison-Wesley,    c2009. 
 - xxiii, 754 p. :    ill. ;    24 cm. 
<br/><br/>Includes bibliographical references (p. 705-733) and indexes. 
<br/><br/>1 AI: HISTORY AND APPLICATIONS -- 2 THE PREDICATE CALCULUS -- 3 STRUCTURES AND STRATEGIES FOR STATE SPACE SEARCH -- 4 HEURISTIC SEARCH -- 5 STOCHASTIC METHODS -- 6.0 Introduction -- 7 KNOWLEDGE REPRESENTATION -- 8.0 Introduction -- 9 REASONING IN UNCERTAIN SITUATIONS -- 10 MACHINE LEARNING: SYMBOL-BASED -- 11 MACHINE LEARNING: CONNECTIONIST -- 11.0 Introduction -- 12.0 Genetic and Emergent Models of Learning -- 13 MACHINE LEARNING: PROBABILISTIC -- 14 AUTOMATED REASONING -- 15 UNDERSTANDING NATURAL LANGUAGE -- 16 ARTIFICIAL INTELLIGENCE AS EMPIRICAL ENQUIRY. 
<br/><br/> In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence—solving the complex problems that arise wherever computer technology is applied. Ideal for an undergraduate course in AI, the Sixth Edition presents the fundamental concepts of the discipline first then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. Students learn how to use a number of different software tools and techniques to address the many challenges faced by today’s computer scientists.Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one- or two-semester undergraduate course on AI. 
<br/><br/><label>ISBN: </label>0132090015 9780132090018 
<br/><br/><label>LCCN: </label>2007050376 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence.<br/>Knowledge representation (Information theory)<br/>Problem solving.<br/>Prolog (Computer program language)<br/>LISP (Computer program language)
<br/><br/><label>Dewey Class. No.: </label>006.3