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Expert Systems and Probabilistic Network Models (Monographs in Computer Science)
 
 
Expert Systems and Probabilistic Network Models (Monographs in Computer Science) (Hardcover)
by Enrique Castillo (Author), Jose M. Gutierrez (Author), Ali S. Hadi (Author) "Not so long ago, it was generally believed that problems such as theorem proving, speech and pattern recognitions, game playing (e.g., chess and backgammon), and..." (more)
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Synopsis
Artificial intelligence and expert systems have seen a great deal of research in recent years, much of which has been devoted to methods for incorporating uncertainty into models. This book is devoted to providing a thorough and up-to-date survey of this field for researchers and students.

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Not so long ago, it was generally believed that problems such as theorem proving, speech and pattern recognitions, game playing (e.g., chess and backgammon), and highly complex deterministic and stochastic systems can only be tackled by humans because their formulations and solutions require some abilities that are found only in humans (e.g., the ability to think, observe, memorize, learn, see, smell, etc.). Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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