Probabilistic reasoning in expert systems: theory and alogorithms

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Wiley, Mar 16, 1990 - Computers - 433 pages
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Addresses the use probability theory as a tool for designing with and implementing uncertainity reasoning. Provides many concrete algorithms, explores techniques for solving multimembership classification problems not based directly on causal networks, and offers practical recommendations, matching specific methods with sample expert systems.

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Contents

INTRODUCTION
1
PROBABILISTIC CONSIDERATIONS
27
GRAPH THEORETIC CONSIDERATIONS
95
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About the author (1990)

Richard E. Neapolitan" has been a researcher in Bayesian networks and the area of uncertainty in artificial intelligence since the mid-1980s. In 1990, he wrote the seminal text, "Probabilistic Reasoning in Expert Systems," which helped to unify the field of Bayesian networks. Dr. Neapolitan has published numerous articles spanning the fields of computer science, mathematics, philosophy of science, and psychology. Dr. Neapolitan is currently professor and chair of Computer Science at Northeastern Illinois University.

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