The Art of Artificial Intelligence: Themes and Case Studies of Knowledge Engineering

The knowledge engineer practices the art of bringing the principles and tools of AI research to bear on difficult applications problems requiring experts' knowledge for their solution. The technical issues of acquiring this knowledge, representing it, and using it appropriately to construct and explain lines-of-reasoning, are important problems in the design of knowledge-based systems. Various systems that have achieved expert level performance in scientific and medical inference illuminates the art of knowledge engineering and its parent science, Artificial Intelligence. The views and conclusions in this document are those of the author and should not be interpreted as necessarily representing the official policies, either express or implied, of the Defense Advanced Research Projects Agency of the United States Government. This research has received support from the following agencies: Defense Advanced Research Projects Agency, DAHC 15-73-C-0435; National Institutes of Health, 5R24-RR00612, RR-00785; National Science Foundation, MCS 76-11649, DCR 74-23461; The Bureau of Health Sciences Research and Evaluation, HS -01544. 1 THE ART ARTIFICIAL INTELLIGENCE: I. Themes and case studies of knowledge engineerini Edward A. Feigenbaum Department of Computer Science, Stanford University, Stanford, California, 9.305.

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