Belief Change in Nonmonotonic Multi-Context Systems
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Zhuang, Zhiqiang
Wang, Kewen
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Cabalar, P
Son, TC
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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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Subject
Artificial intelligence not elsewhere classified
Computational logic and formal languages