Belief Change in Nonmonotonic Multi-Context Systems

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Author(s)
Wang, Yisong
Zhuang, Zhiqiang
Wang, Kewen
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Cabalar, P

Son, TC

Date
2013
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279145 bytes

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Corunna, SPAIN

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Abstract

Brewka and Eiter's nonmonotonic multi-context system is an elegant knowledge representation framework to model heterogeneous and nonmonotonic multiple contexts. Belief change is a central problem in knowledge representation and reasoning. In this paper we follow the classical AGM approach to investigate belief change in multi-context systems. Specifically, we formulate semantically the AGM postulates of belief expansion, revision and contraction for multi-context systems. We show that the change operations can be characterized in terms of minimal change by ordering equilibria of multi-context systems. Two distance based revision operators are obtained and related to the classical Satoh and Dalal revision operators (via loop formulas).

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LOGIC PROGRAMMING AND NONMONOTONIC REASONING (LPNMR 2013)

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8148

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© 2013 Springer-Verlag Berlin Heidelberg. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.

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Artificial intelligence not elsewhere classified

Computational logic and formal languages

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