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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:
    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

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.