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Distributed Evaluation of Nonmonotonic Multi-context Systems
2015
The Journal of Artificial Intelligence Research
Multi-context Systems (MCSs) are a formalism for systems consisting of knowledge bases (possibly heterogeneous and non-monotonic) that are interlinked via bridge rules, where the global system semantics emerges from the local semantics of the knowledge bases (also called "contexts") in an equilibrium. While MCSs and related formalisms are inherently targeted for distributed set- tings, no truly distributed algorithms for their evaluation were available. We address this short- coming and present
doi:10.1613/jair.4574
fatcat:p6xuouc3bja5tlwqscsx4fvtjm