Abstract
Multi-context systems can be used to represent contextual information and inter-contextual information flow. We show that the local model semantics of a multi-context system is completely determined by the information that is obtained when simulating the information flow specified by the system, in such a way that a minimal amount of information is deduced at each step of the simulation.
The multi-context system framework implicitly presupposes that information flow is deterministic. In many natural situations, this is not a valid assumption. We propose an extension of the framework to account for non-determinism and provide an algorithm to efficiently compute the meaning of non-deterministic systems.
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© 2005 Springer-Verlag Berlin Heidelberg
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Roelofsen, F., Serafini, L. (2005). Minimality and Non-determinism in Multi-context Systems. In: Dey, A., Kokinov, B., Leake, D., Turner, R. (eds) Modeling and Using Context. CONTEXT 2005. Lecture Notes in Computer Science(), vol 3554. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11508373_32
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DOI: https://doi.org/10.1007/11508373_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26924-3
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