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  1. (1 other version)Ordinal Conditional Functions. A Dynamic Theory of Epistemic States.Wolfgang Spohn - 1988 - In W. L. Harper & B. Skyrms (eds.), Causation in Decision, Belief Change, and Statistics, vol. II. Kluwer Academic Publishers.
    It is natural and important to have a formal representation of plain belief, according to which propositions are held true, or held false, or neither. (In the paper this is called a deterministic representation of epistemic states). And it is of great philosophical importance to have a dynamic account of plain belief. AGM belief revision theory seems to provide such an account, but it founders at the problem of iterated belief revision, since it can generally account only for one step (...)
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  • Propositional knowledge base revision and minimal change.Hirofumi Katsuno & Alberto O. Mendelzon - 1991 - Artificial Intelligence 52 (3):263-294.
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  • Reducing belief revision to circumscription.Paolo Liberatore & Marco Schaerf - 1997 - Artificial Intelligence 93 (1-2):261-296.
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  • On the semantics of combination operations.Thomas Meyer - 2001 - Journal of Applied Non-Classical Logics 11 (1-2):59-84.
    Intelligent agents are often faced with the problem of trying to combine possibly conflicting pieces of information obtained from different sources into a coherent view of the world. We propose a framework for the modelling of such combination operations with roots in the work of Spohn [Spo88, Spo91]. We construct a number of combination operations and we measure them against various properties that such operations ought to satisfy. We conclude by discussing the connection between combination operations and the use of (...)
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  • A consistency-based approach for belief change.James P. Delgrande & Torsten Schaub - 2003 - Artificial Intelligence 151 (1-2):1-41.
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