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Multi Context Model Counting

Contextual reasoning is the result of the composition of local reasoning in each context via a set of inference rules, called bridge rules . In the past it has been argued that organizing knowledge in multi-ple related contexts (modules) provides many advantages. Logical inference and satisfiability in multi context systems have been widely studied. However,there are other important inference tasks such as model counting and weighted model counting that one want to perform on an MCS. In this note we concentrate on Model Counting task that can provide a good base for probabilistic reasoning in Multi Context Systems. The paper proposes a method that computes model counting for a multi context system in terms of the combination of model counting in each context.