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Expert Systems and Probabilistic Network Models (Monographs in Computer Science)
 
 
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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)
Key Phrases: current goal object, attainability matrix, ancestral numbering, Modus Tollens, Modus Ponens, Gaussian Bayesian (more...)
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Editorial Reviews

Product Description
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.

Product Details

  • Hardcover: 605 pages
  • Publisher: Springer; 1 edition (December 13, 1996)
  • Language: English
  • ISBN-10: 0387948589
  • ISBN-13: 978-0387948584
  • Product Dimensions: 9.5 x 6.4 x 1.4 inches
  • Shipping Weight: 2.3 pounds
  • Average Customer Review: No customer reviews yet. Be the first.
  • Amazon.com Sales Rank: #1,892,025 in Books (See Bestsellers in Books)

Inside This Book (learn more)
First Sentence:
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
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
current goal object, attainability matrix, ancestral numbering, chain rule factorizations, directed perfect map, initial marginal probabilities, evidential nodes, triangulated undirected graph, coherence control subsystem, polytree propagation algorithm, perfect numbering, nontriangulated graph, evidential variables, exact propagation methods, likelihood weighing, causal input list, associated undirected graph, strong union property, causal list, symbolic propagation, independency structure, initial goal object, binary symptoms, polytrees algorithm, perfect reap
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Modus Tollens, Modus Ponens, Gaussian Bayesian, France Rule, Egypt Rule, Spain Rule, X-pert Rules, Japan Rule, Network Prob, World Wide Web, Initialization Steps, Egypt Nancy, Japan Nancy, Egypt Tom, France Kathy, Objects Conclusions Contradictory
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This book cites 82 books:
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