Preferential vs Rational Description Logics: which one for Reasoning About Typicality?

被引:8
|
作者
Giordano, Laura [1 ]
Gliozzi, Valentina [1 ]
Olivetti, Nicola [1 ]
Pozzato, Gian Luca [1 ]
机构
[1] Univ Piemonte Orientale, Dip Informat, Alessandria, Italy
关键词
D O I
10.3233/978-1-60750-606-5-1069
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Extensions of Description Logics (DLs) to reason about typicality and defeasible inheritance have been largely investigated. In this paper, we consider two such extensions, namely (i) the extension of DLs with a typicality operator T, having the properties of Preferential nonmonotonic entailment P, and (ii) its variant with a typicality operator having the properties of the stronger Rational entailment R. The first one has been proposed in [6]. Here, we investigate the second one and we show, by a representation theorem, that it is equivalent to the approach to preferential subsumption proposed in [3]. We compare the two extensions, preferential and rational, and argue that the first one is more suitable than the second one to reason about typicality, as the latter leads to very unintuitive inferences.
引用
收藏
页码:1069 / +
页数:2
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  • [4] A non-monotonic Description Logic for reasoning about typicality
    Giordano, L.
    Gliozzi, V.
    Olivetti, N.
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    [J]. ARTIFICIAL INTELLIGENCE, 2013, 195 : 165 - 202
  • [5] A Framework for Reasoning about Dynamic Axioms in Description Logics
    Bednarczyk, Bartosz
    Demri, Stephane
    Mansutti, Alessio
    [J]. PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2020, : 1681 - 1687
  • [6] Reasoning about actions using description logics with general TBoxes
    Liu, Hongkai
    Lutz, Carsten
    Milicic, Maja
    Wolter, Frank
    [J]. LOGICS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 4160 : 266 - 279
  • [7] A Family of Dynamic Description Logics for Representing and Reasoning About Actions
    Chang, Liang
    Shi, Zhongzhi
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    [J]. JOURNAL OF AUTOMATED REASONING, 2012, 49 (01) : 1 - 52
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  • [10] Reasoning about the Reliability of Diverse Two-Channel Systems in Which One Channel Is "Possibly Perfect"
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