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Belief functions and default reasoning

Benferhat, Salem (author)
Univ. Paul Sabatier, Toulouse, France
Saffiotti, Alessandro (author)
Örebro universitet,Institutionen för teknik,Mobile Robotics Lab
Smets, Philippe (author)
Univ. Libre de Bruxelles, Brussels, Belgium
Univ Paul Sabatier, Toulouse, France Institutionen för teknik (creator_code:org_t)
2000
2000
English.
In: Artificial Intelligence. - 0004-3702 .- 1872-7921. ; 122:1-2, s. 1-69
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Datalogi
Computer and Systems Science

Publication and Content Type

ref (subject category)
art (subject category)

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