Inference guiding in propositional knowledge bases*

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Abstract

When initial data are not sufficient to accomplish inference in a knowledge-based system, more information may be needed. The task of inference guiding or question-asking in that situation is to select missing information to confirm. We present an inference guiding method for propositional knowledge-based systems. Our computational experiments show that the new method is significantly better than the methods currently used in many knowledge-based systems.

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