Uncertainty in Artificial Intelligence 5

Uncertainty in Artificial Intelligence 5

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This volume, like its predecessors, reflects the cutting edge of research on the automation of reasoning under uncertainty. A more pragmatic emphasis is evident, for although some papers address fundamental issues, the majority address practical issues. Topics include the relations between alternative formalisms (including possibilistic reasoning), Dempster-Shafer belief functions, non-monotonic reasoning, Bayesian and decision theoretic schemes, and new inference techniques for belief nets. New techniques are applied to important problems in medicine, vision, robotics, and natural language understanding.which they may be added to or removed from the influence diagram being constructed. ... We used the detailed process knowledge we acquired from decision analysis and Boeing experts to build a prototype Raamp;D project selection decisionanbsp;...

Title:Uncertainty in Artificial Intelligence 5
Author:R.D. Shachter, L.N. Kanal, M. Henrion, J.F. Lemmer
Publisher:Elsevier - 2014-06-28


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