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  • Belief Change in Nonmonotonic Multi-Context Systems

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    91981_1.pdf (272.6Kb)
    Author(s)
    Wang, Yisong
    Zhuang, Zhiqiang
    Wang, Kewen
    Griffith University Author(s)
    Wang, Kewen
    Zhuang, Zhiqiang
    Year published
    2013
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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 ...
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    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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    Conference Title
    LOGIC PROGRAMMING AND NONMONOTONIC REASONING (LPNMR 2013)
    Volume
    8148
    DOI
    https://doi.org/10.1007/978-3-642-40564-8_54
    Copyright Statement
    © 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.
    Subject
    Computational Logic and Formal Languages
    Artificial Intelligence and Image Processing not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/58727
    Collection
    • Conference outputs

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