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Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 6th edition

Published by Pearson (February 26, 2008) © 2009

  • George F. Luger
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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.
  • PART I: ARTIFICIAL INTELLIGENCE: ITS ROOTS AND SCOPE
  • 1 AI: HISTORY AND APPLICATIONS
  • PART II: ARTIFICIAL INTELLIGENCE AS REPRESENTATION AND SEARCH
  • 2 THE PREDICATE CALCULUS
  • 3 STRUCTURES AND STRATEGIES FOR STATE SPACE SEARCH
  • 4 HEURISTIC SEARCH
  • 5 STOCHASTIC METHODS
  • 6 CONTROL AND IMPLEMENTATION OF STATE SPACE SEARCH
  • PART III: CAPTURING INTELLIGENCE: THE AI CHALLENGE
  • 7 KNOWLEDGE REPRESENTATION
  • 8 STRONG METHOD PROBLEM SOLVING
  • 9 REASONING IN UNCERTAIN SITUATIONS
  • PART IV: MACHINE LEARNING
  • 10 MACHINE LEARNING: SYMBOL-BASED
  • 11 MACHINE LEARNING: CONNECTIONIST
  • 12 MACHINE LEARNING: GENETIC AND EMERGENT
  • 13 MACHINE LEARNING: PROBABILISTIC
  • PART V: ADVANCED TOPICS FOR AI PROBLEM SOLVING
  • 14 AUTOMATED REASONING
  • 15 UNDERSTANDING NATURAL LANGUAGE
  • PART VI
  • 16 ARTIFICIAL INTELLIGENCE AS EMPIRICAL ENQUIRY
  • Bibliography
  • Author Index
  • Subject Index

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