Artificial Intelligence

Structures and Strategies for Complex Problem Solving

Häftad, Engelska, 2008

2 586 kr

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Beskrivning

Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one- or two-semester undergraduate course on AI.

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. Readers learn how to use a number of different software tools and techniques to address the many challenges faced by today’s computer scientists.

Produktinformation

Utgivningsdatum:2008-05-13
Mått:195 x 240 x 40 mm
Vikt:1 456 g
Format:Häftad
Språk:Engelska
Antal sidor:784
Upplaga:6
Förlag:Pearson Education
ISBN:9780321545893

Utforska kategorier

Artificiell intelligens inom Data och IT

Mer om författaren

George Luger is currently a Professor of Computer Science, Linguistics, and Psychology at the University of New Mexico. He received his PhD from the University of Pennsylvania and spent five years researching and teaching at the Department of Artificial Intelligence at the University of Edinburgh.

Innehållsförteckning

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