Making decisions is one of the central problems in knowledge based and expert systems. It is in particular a fundamental issue of Distributed AI. In this paper we define some well-known, rather simple rules from decision theory within a framework of many-valued logic programming. We show how these rules can also be generalized using partially ordered preference functions and how they can apply to multi-agent systems.
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