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Basic Infobase Change

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Advanced Topics in Artificial Intelligence (AI 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1747))

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Abstract

Generalisations of theory change involving arbitrary sets of wffs instead of belief sets have become known as base change. In one view, a base should be thought of as providing more structure to its generated belief set, and can be used to determine the theory change operation associated with a base change operation. In this paper we extend a proposal along these lines by Meyer et al. [12]. We take an infobase as a finite sequence of wffs, with each element in the sequence being seen as an independently obtained bit of information, and define appropriate infobase change operations. The associated theory change operations satisfy the AGM postulates for theory change [1]. Since an infobase change operation produces a new infobase, it allows for iterated infobase change. We measure iterated infobase change against the postulates proposed by Darwiche et al. [2,3] and Lehmann [10].

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References

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© 1999 Springer-Verlag Berlin Heidelberg

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Meyer, T. (1999). Basic Infobase Change. In: Foo, N. (eds) Advanced Topics in Artificial Intelligence. AI 1999. Lecture Notes in Computer Science(), vol 1747. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46695-9_14

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  • DOI: https://doi.org/10.1007/3-540-46695-9_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66822-0

  • Online ISBN: 978-3-540-46695-6

  • eBook Packages: Springer Book Archive

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