An analysis on the inference guiding strategies—The benefits and costs

摘要

In many applications of knowledge-based systems, initial facts and data are not sufficient to reach a pertinent result and more facts are needed to proceed the logic inference. What additional information is to be selected and how to select the information comprise the inference guiding problem. The analyses and experiments in this paper suggest that: (1) inference guiding has a substantial influence on effectiveness and efficiency of entire inference process in many knowledge-based systems; (2) inference guiding strategies on random bases, as used in many knowledge-based systems on the market, are not effective; and (3) the heuristic which was developed by Wang and Vande Vate may improve inference guiding significantly at an acceptable cost.