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Uncertainty in Artificial Intelligence 5
1st Edition, Volume 10 - July 10, 1990
Editors: R.D. Shachter, L.N. Kanal, M. Henrion, J.F. Lemmer
Language: English
eBook ISBN:9781483296555
9 7 8 - 1 - 4 8 3 2 - 9 6 5 5 - 5
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…Read more
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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.
Fundamental Issues. Defeasible Reasoning and Uncertainty. Algorithms for Inference in Belief Nets. Software Tools for Uncertain Reasoning. Knowledge Acquisition, Modelling, and Explanation. Applications to Vision and Recognition. Comparing Approaches to Uncertain Reasoning. Author Index.
Language: English
Edition: 1
Volume: 10
Published: July 10, 1990
Imprint: North Holland
eBook ISBN: 9781483296555
RS
R.D. Shachter
Affiliations and expertise
Stanford University, Stanford, CA, USA
LK
L.N. Kanal
Affiliations and expertise
University of Maryland, Department of Computer Science, College Park, MD, USA
MH
M. Henrion
Affiliations and expertise
Rockwell International Science Center, Palo Alto, CA, USA
JL
J.F. Lemmer
Affiliations and expertise
CTA, Inc., Rome, NY USA
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