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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.
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.
- No. of pages:
- © North Holland 1990
- 10th July 1990
- North Holland
- eBook ISBN:
@qu:These ae clearly important publications in their highly topical field, with particular relevance to real-time interactive sytems and hence to robotics.
Stanford University, Stanford, CA, USA
University of Maryland, Department of Computer Science, College Park, MD, USA
Rockwell International Science Center, Palo Alto, CA, USA
CTA, Inc., Rome, NY USA
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