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Modelling Conditional Knowledge Discovery and Belief Revision by Abstract State Machines

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Abstract State Machines 2003 (ASM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2589))

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Abstract

We develop a high-level ASM specification for the Condor system that provides powerful methods and tools for managing knowledge represented by conditionals. Thereby, we are able to elaborate crucial interdependencies between different aspects of knowledge representation, knowledge discovery, and belief revision. Moreover, this specification provides the basis for a stepwise refinement development process of the Condor system based on the ASM methodology.

The research reported here was partially supported by the DFG-Deutsche Forschungsgemeinschaft (grant BE 1700/5-1).

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Beierle, C., Kern-Isberner, G. (2003). Modelling Conditional Knowledge Discovery and Belief Revision by Abstract State Machines. In: Börger, E., Gargantini, A., Riccobene, E. (eds) Abstract State Machines 2003. ASM 2003. Lecture Notes in Computer Science, vol 2589. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36498-6_10

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  • DOI: https://doi.org/10.1007/3-540-36498-6_10

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