Application of plausible reasoning to AI-based control systemsSome current approaches to plausible reasoning in artificial intelligence are reviewed and discussed. Some of the most significant recent advances in plausible and approximate reasoning are examined. A synergism among the techniques of uncertainty management is advocated, and brief discussions on the certainty factor approach, probabilistic approach, Dempster-Shafer theory of evidence, possibility theory, linguistic variables, and fuzzy control are presented. Some extensions to these methods are described, and the applications of the methods are considered.
Document ID
19880040181
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Berenji, Hamid (NASA Ames Research Center Moffett Field, CA, United States)
Lum, Henry, Jr. (NASA Ames Research Center Moffett Field, CA, United States)