Uncertainty in Artificial Intelligence 5

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Uncertainty in Artificial Intelligence 5 is written by R.D. Shachter and published by Elsevier. It's available with International Standard Book Number or ISBN identification 1483296555 (ISBN 10) and 9781483296555 (ISBN 13).

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.