Towards a General-Purpose Belief Maintenance System.
ILLINOIS UNIV AT URBANA DEPT OF COMPUTER SCIENCE
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This paper addresses the problem of probabilistic reasoning as it applies to Truth Maintenance Systems. A Belief Maintenance System has been constructed which manages a current set of probabilistic beliefs in much the same way that a TMS manages a set of truefalse beliefs. Such a system may be thought of as a generalization of a Truth Maintenance System. It enables one to reason using normal two or three-valued logic or using probabilistic values to represent partial belief. The design of the Belief Maintenance System is described and some problems are discussed which require further research. Finally, some examples are presented, which show the utility of such a system. Keywords Problem solving, Artificial intelligence.