oversized softcover. Very good condition. Cover has some stains. Binding is strong and tight. Corners are squared and pages are clean. Title page and copyright are dated 1992. 367 Pages. Overall very good condition. Please email with questions or to see any photos. We are a real neighborhood bookstore and ship books every day. This listing was written by an actual person with the book in front of them for inspection.

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Bibliographic Details

Title: Uncertainty in Artificial Intelligence: Proceedings of the Eighth Conference
Publisher: Morgan Kaufmann Pub
Publication Date: 1993
Language: English
ISBN 10: 1558602585
ISBN 13: 9781558602588
Binding: Paperback
Condition: Very Good

About this title

Synopsis

Uncertainty in Artificial Proceedings of the Eighth Conference (1992) covers the papers presented at the Eighth Conference on Uncertainty in Artificial Intelligence, held at Stanford University on July 17-19, 1992. The book focuses on the processes, methodologies, technologies, and approaches involved in artificial intelligence. The selection first offers information on Relative Evidential Support (RES), modal logics for qualitative possibility and beliefs, and optimizing causal orderings for generating DAGs from data. Discussions focus on reversal, swap, and unclique operators, modal representation of possibility, and beliefs and conditionals. The text then examines structural controllability and observability in influence diagrams, lattice-based graded logic, and dynamic network models for forecasting. The manuscript takes a look at reformulating inference problems through selective conditioning, entropy and belief networks, parallelizing probabilistic inference, and a symbolic approach to reasoning with linguistic quantifiers. The text also ponders on sidestepping the triangulation problem in Bayesian net computations; exploring localization in Bayesian networks for large expert systems; and expressing relational and temporal knowledge in visual probabilistic networks. The selection is a valuable reference for researchers interested in artificial intelligence.

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