High-probabilities, model-preference and default arguments

Minds and Machines 2 (1):51-70 (1992)
In this paper we analyze two recent conditional interpretations of defaults, one based on probabilities, and the other, on models. We study what makes them equivalent, explore their limitations and develop suitable extensions. The resulting framework ties together a number of important notions in default reasoning, like high-probabilities and model-preference, default priorities and argument systems, and independence assumptions and minimality considerations.
Keywords Default reasoning  non-monotonic logic  preferred models
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DOI 10.1007/BF00261289
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