Uncertainty in Artificial Intelligence: Proceedings of the Eighth Conference

Dubois, Didier; Wellman, Michael P.; D'Ambrosio, Bruce; Smets, Phillipe

ISBN 10: 1558602585 / ISBN 13: 9781558602588

Published by Morgan Kaufmann Publishers In, 1993

About this Item

Zustand: Sehr gut | Seiten: 500 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Seller Inventory # 41794256/202

Bibliographic Details

• Title: Uncertainty in Artificial Intelligence: Proceedings of the Eighth Conference
• Publisher: Morgan Kaufmann Publishers In
• Publication Date: 1993
• Language: English
• ISBN 10: 1558602585
• ISBN 13: 9781558602588
• Binding: Soft cover
• Condition: Sehr gut
• Seller catalogs:
  • Bücher

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.