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A dynamic ordering relation for revision

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Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 747))

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Abstract

one of the most frequently met problems in theory revision is the taking into account of the world history (the order of arrival of the information, for example) and links between knowledge (to what degree is a fact more important than another, for example ?). This paper proposes an algebraic approach to describe (or process) the changes of the world based on a dynamic partial order relation (representing preference) and to describe the models for some logical (deductive) systems. Though taking into account previous states (information is managed in priority following the order of arrival), we will see that the process avoids the necessity of keeping the complete world history.

This research is supported by the ESPRIT project DRUMS II and by the Ministère de la Recherche et de l'Espace, inter-PRC project: ”Gestion de l'évolutif et de l'incertain dans une base de connaissances” (G.E.I.).

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Bibliography

  1. Geneviève Bossu, Pierre Siegel, “Saturation, Nonmonotonic Reasoning and the Closed-World Assumption”, Artificial Intelligence 25 (1985), pp 13–63.

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  2. Y. Shoham, “Reasoning About Change-Time and Causation from the Standpoint of Artificial Intelligence”, The MIT Press, Cambridge, Mass., 1988.

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  3. Daniel Lehman, Menachem Magidor, “What does a conditional knowledge base entail ?”, Departement of Computer Science, Hebrew University, Jerusalem 91904, Israel, June 1990.

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  4. Arnaud Kohler, Pierre Siegel, ”Ordering relation and revision”, TR'93, LIUP-Marseille.

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Michael Clarke Rudolf Kruse Serafín Moral

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© 1993 Springer-Verlag Berlin Heidelberg

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Arnaud, K. (1993). A dynamic ordering relation for revision. In: Clarke, M., Kruse, R., Moral, S. (eds) Symbolic and Quantitative Approaches to Reasoning and Uncertainty. ECSQARU 1993. Lecture Notes in Computer Science, vol 747. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028201

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  • DOI: https://doi.org/10.1007/BFb0028201

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57395-1

  • Online ISBN: 978-3-540-48130-0

  • eBook Packages: Springer Book Archive

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