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Home > Computing and Information Technology > Computer science > Artificial intelligence > Artificial Intelligence: Structures and Strategies for Complex Problem Solving
Artificial Intelligence: Structures and Strategies for Complex Problem Solving

Artificial Intelligence: Structures and Strategies for Complex Problem Solving


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About the Book

[Shelving Category: Artificial Intelligence]"One of the few books on the market that covers all the topics I have included in my course for the past 10 years." Bruce Maxim, University of Michigan - Dearborn "The book is a perfect complement to an AI course. It gives the reader both an historical point of view and a practical guide to all the techniques. It is THE book I recommend as an introduction to this field." Pascal Rebreyend, Dalarna University "Excellent additions and improvements. I will use the 5th edition in my introduction and advanced AI courses." Peter Funk, M'lardalen University "The style of writing and comprehensive treatment of the subject matter makes this a valuable addition to the AI literature." Malachy Eaton, University of Limerick Can machines think like people? This question is the driving force behind Artificial Intelligence, but it is only the starting point of this ever-evolving, exciting discipline. AI uses different strategies to solve the complex problems that arise wherever computer technology is applied, from those areas pertaining to perception and adaptation (neural networks, genetic algorithms) to the fields of intelligent agents, natural language understanding and stochastic models. George Luger examines complex problem solving techniques while demonstrating his enthusiasm and excitement for the study of intelligence itself. He shows how to use a number of different software tools and techniques to address the many challenges faced by today's computer scientists. New to this edition* Brand new chapter which introduces the stochastic methodology.* Extended material in many sections addresses the continuing importance of agent-based problem solving and embodiment in AI technology.* Presentation of issues in natural language understanding, including sections on stochastic methods for language comprehension; Markov models; CART trees; mutual information clustering; and statistic based parsing.* Further discussion of the AI endeavor from the perspectives of philosophy, psychology, and neuro-psychology. Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one or two semester university course on AI, as well as an invaluable reference for researchers in the field or practitioners wishing to employ the power of current AI techniques in their work. After receiving his PhD from the University of Pennsylvania, George Luger spent five years researching and teaching 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.

Table of Contents:
Part I: Artificial Intelligence: its Routes 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 Building Control Algorithms for State Space Search Part III: Representation and 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: Social and Emergent Part V: Advanced Topics for AI Problem Solving 13 Automated Reasoning 14 Understanding Natural Language Part VI: Languages and Programming Techniques for Artificial Intelligence 15 An Introduction to PROLOG 16 An Introduction to LISP Part VII: Epilogue 17 Artificial Intelligence as Empirical Enquiry Bibliography Author Index Subject Index


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Product Details
  • ISBN-13: 9780321263186
  • Publisher: Addison Wesley Longman
  • Publisher Imprint: Addison Wesley Longman
  • Height: 238 mm
  • No of Pages: 928
  • Spine Width: 46 mm
  • Weight: 1650 gr
  • ISBN-10: 0321263189
  • Publisher Date: 21 Oct 2004
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Sub Title: Structures and Strategies for Complex Problem Solving
  • Width: 194 mm


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