In many applications of knowledge-based systems, initial facts and dat
a are not sufficient to reach a pertinent result and more facts are ne
eded 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 th
at: (1) inference guiding has a substantial influence on effectiveness
and efficiency of entire inference process in many knowledge-based sy
stems; (2) inference guiding strategies on random bases, as used in ma
ny knowledge-based systems on the market, are not effective; and (3) t
he heuristic which was developed by Wang and Vande Vate may improve in
ference guiding significantly at an acceptable cost. (C) 1997 Elsevier
Science B.V.