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Belief functions an...
Belief functions and default reasoning
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- Benferhat, Salem (author)
- Univ. Paul Sabatier, Toulouse, France
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- Saffiotti, Alessandro (author)
- Örebro universitet,Institutionen för teknik,Mobile Robotics Lab
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- Smets, Philippe (author)
- Univ. Libre de Bruxelles, Brussels, Belgium
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Univ Paul Sabatier, Toulouse, France Institutionen för teknik (creator_code:org_t)
- 2000
- 2000
- English.
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In: Artificial Intelligence. - 0004-3702 .- 1872-7921. ; 122:1-2, s. 1-69
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https://doi.org/10.1...
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https://urn.kb.se/re...
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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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