Knowledge Acquisition for Expert Systems: A Practical Handbook
Springer US, Jul 31, 1987 - Psychology - 208 pages
Building an expert system involves eliciting, analyzing, and interpreting the knowledge that a human expert uses when solving problems. Expe rience has shown that this process of "knowledge acquisition" is both difficult and time consuming and is often a major bottleneck in the production of expert systems. Unfortunately, an adequate theoretical basis for knowledge acquisition has not yet been established. This re quires a classification of knowledge domains and problem-solving tasks and an improved understanding of the relationship between knowledge structures in human and machine. In the meantime, expert system builders need access to information about the techniques currently being employed and their effectiveness in different applications. The aim of this book, therefore, is to draw on the experience of AI scientists, cognitive psychologists, and knowledge engineers in discussing particular acquisition techniques and providing practical advice on their application. Each chapter provides a detailed description of a particular technique or methodology applied within a selected task domain. The relative strengths and weaknesses of the tech nique are summarized at the end of each chapter with some suggested guidelines for its use. We hope that this book will not only serve as a practical handbook for expert system builders, but also be of interest to AI and cognitive scientists who are seeking to develop a theory of knowledge acquisition for expert systems.
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algorithm analysis analyzed application Artificial Intelligence attributes behavior blood Breuker building expert systems Clancey cognitive constraints construct systems decision tree described developed diagnosis domain concepts elements elicitation technique EMYCIN example expert system expert's knowledge expertise explanation Figure fluid formal Hayes-Roth human expert hydrostatic ID3 algorithm identify implementation induction inference Intelligent tutoring systems interactive interpretation models interstitial spaces interview Kassirer knowl knowledge acquisition knowledge base knowledge elicitation knowledge engineer knowledge representation knowledge-based Kuipers leukemia LISP machine methods modality nephrotic syndrome node norm(dec norm(inc norm(std objects oncotic pressure particular PEGASUS performance personal construct personal construct psychology problem problem-solving procedure protein protocol qualitative simulation reasoning reference relations relationships relevant repertory grid represent Research ROGET selected solving specific stage Starling equilibrium strategy structure task teachback tion training set transcript verbal data VLSI Wielinga