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  • Benferhat, Salem, et al. (author)
  • Belief functions and default reasoning
  • 2000
  • In: Artificial Intelligence. - 0004-3702 .- 1872-7921. ; 122:1-2, s. 1-69
  • Journal article (peer-reviewed)abstract
    • We present a new approach to deal with default information based on the theory of belief functions. Our semantic structures, inspired by Adams' epsilon semantics, are epsilon-belief assignments, where mass values are either close to 0 or close to 1. In the first part of this paper, we show that these structures can be used to give a uniform semantics to several popular non-monotonic systems, including Kraus, Lehmann and Magidor's system P, Pearl's system Z, Brewka's preferred sub-theories, Geffner's conditional entailment, Pinkas' penalty logic, possibilistic logic, and the lexicographic approach. In the second part, we use epsilon-belief assignments to build a new system, called LCD, and we show that this system correctly addresses the well-known problems of specificity, irrelevance, blocking of inheritance, ambiguity, and redundancy
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Type of publication
journal article (1)
Type of content
peer-reviewed (1)
Author/Editor
Saffiotti, Alessandr ... (1)
Benferhat, Salem (1)
Smets, Philippe (1)
University
Örebro University (1)
Language
English (1)
Research subject (UKÄ/SCB)
Natural sciences (1)
Year

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