Default reasoning : causal and conditional theories
- Responsibility
- Hector Geffner.
- Imprint
- Cambridge, Mass. : MIT Press, 1992.
- Physical description
- 222 p.
- Series
- ACM doctoral dissertation award 1990.
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| Call number | Note | Status |
|---|---|---|
| Q339 .G44 1992 |
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Description
Creators/Contributors
- Author/Creator
- Geffner, Hector.
Contents/Summary
- Bibliography
- Includes bibliographical references (p. ) and index.
- Contents
-
- A system of defeasible inference based on probabilities
- high probabilities and preferential structures
- irrelevance and prioritized preferential structures
- the causal dimension - evidence vs. explanation
- proofs.
- (source: Nielsen Book Data)
- Publisher's summary
-
Defaults in commonsense reasoning permit the generation of useful predictions in the absence of complete information. However, attempts to represent and reason with defaults in AI run into the problem of spurious arguments, arguments that rely on acceptable defaults but which support unacceptable conclusions. Geffner addresses this problem by analyzing the causal and conditional aspects of default, establishing theoretical limits on the capabilities of probabilistic approaches. He provides new insights into the nature of defaults, and new methods of processing databases containing default expressions. The result is a default-handling system that yields an intuitive behaviour in several domains of interest in AI, including inheritance hierarchies, reasoning about change, general logic programs, and abductive reasoning.
(source: Nielsen Book Data)
Subjects
Bibliographic information
- Publication date
- 1992
- Series
- ACM doctoral dissertation awards ; 1990
- ISBN
- 0262071371
- 9780262071376
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