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Much has changed since the early editions of Artificial Intelligence were published. To reflect this the introductory material of this fifth edition has been substantially revised and rewritten to capture the excitement of the latest developments in AI work. Artificial intelligence is a diverse field. To ask the question "what is intelligence?" is to invite as many answers as there are approaches to the subject of artificial intelligence. These could be intelligent agents, logical reasoning, neural networks, expert systems, evolutionary computing and so on. This fifth edition covers all the main strategies used for creating computer systems that will behave in "intelligent" ways. It combines the broadest approach of any text in the marketplace with the practical information necessary to implement the strategies discussed, showing how to do this through Prolog or LISP programming. Salient Features A thorough and balanced treatment of the foundations of AI. Contains a combination of theoretical foundations of intelligent problem solving with the data structures and algorithms needed for implementation. Example programs written in LISP and PROLOG. Puts practical applications of AI into context. A unique discussion of the social and philosophical issues of AI. Model-based reasoning and planning examples from the NASA space program. Comments on the AI endeavor from the perspectives of philosophy, psychology and neuro-physiology. About the Author George Luger received his PhD from the University of Pennsylvania in 1973. He spent the next five years as a Postdoctoral Research Fellow at the Department of Artificial intelligence of the University of Edinburgh. He is currently a Professor of Computer Science, Linguistics, and Psychology at the University of New Mexico in Albuquerque. Table of Contents Part I: Artificial Intelligence: its Routes and Scope Part II: Artificial Intelligence as Representation and Search Part III: Representation and Intelligence: The AI Challenge Part IV: Machine Learning Part V: Advanced Topics for AI Problem Solving Part VI: Languages and Programming Techniques for Artificial Intelligence Part VII: Epilogue Bibliography Author Index Subject Index