Abstract
The DMCS system is an implementation of the equilibrium semantics for heterogeneous and nonmonotonic multi-context systems (MCS) [3], which feature contexts with heterogeneous and possibly nonmonotonic logics. Each context in an MCS comprises of two parts: a local knowledge base and a set of bridge rules that can access the beliefs of other contexts and add new information to the knowledge base. In this setting, contexts are loosely coupled, and may model distributed information linkage applications; thus it is natural to have a system that allows for the distributed evaluation of MCS.
This research has been supported by the Austrian Science Fund (FWF) project P20841 and by the Vienna Science and Technology Fund (WWTF) project ICT 08-020.
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Bairakdar, S.ED., Dao-Tran, M., Eiter, T., Fink, M., Krennwallner, T. (2010). The DMCS Solver for Distributed Nonmonotonic Multi-Context Systems. In: Janhunen, T., Niemelä, I. (eds) Logics in Artificial Intelligence. JELIA 2010. Lecture Notes in Computer Science(), vol 6341. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15675-5_30
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