Knowledge Acquisition for Expert Systems: A Practical Handbook

This book 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 in order to serve as a practical handbook for expert system builders.

Abstract

Building an expert system involves eliciting, analyzing, and interpreting the that a human expert uses when solving problems. Expe rience has shown that this process of knowledge is both difficult and time consuming and is often a major bottleneck in the production of expert Unfortunately, an adequate theoretical basis for acquisition has not yet been established. This re quires a classification of domains and problem-solving tasks and an improved understanding of the relationship between 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 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 acquisition for expert systems.