Titlebook: Knowledge Representation and Reasoning Under Uncertainty; Logic at Work Michael Masuch,László Pólos Conference proceedings 1994 Springer-Ve

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Rough logic for multi-agent systems,nted, such as nonmonotonic reasoning, fuzzy sets, probabilistic logic, and so on. In this paper we focus on . to describe reasoning about knowledge, which is understood as the ability to classify objects. Rough sets are used as a mathematical tool to deal with uncertain and imprecise data. The aim o

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A logical approach to multi-sources reasoning,e show that ordering the different sources according to their reliability is a good way for solving this problem. The two logics which are presented, correspond to two attitudes one can take with respect to such an order.

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Situation theory and social structure,underlie the way we encounter the world, and which influence our behavior and communication in society..Much of this work is done jointly with Duska Rosenberg. Our collaboration on this project commenced with (Devlin and Rosenberg, to appear), and continues in (Devlin and Rosenberg, in preparation a

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