From knowledge transfer to knowledge generation

By discussing several case studies, the authors point out that building an expert system is not just a translation from the existing knowledge into a computer program. It is a process in which new expertise knowledge may be generated and acquired. The new knowledge may complement the solver of the prototype problem. The authors introduce several new technological investigations that complement the theory and application techniques of both control engineering and artificial intelligence. In particular, they describe the criterion to test nonminimum-phase systems and a design criterion to choose the direction of controller action in multiloop systems. Also considered is an adaptive feedback testing system for reliability enhancement of knowledge-based systems, a filter rule for the reduction of search routines, and an integrated intelligent system.<
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