Overview
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (8 chapters)
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Knowledge Acquisition for Expert Systems
Book Subtitle: A Practical Handbook
Editors: Alison L. Kidd
DOI: https://doi.org/10.1007/978-1-4613-1823-1
Publisher: Springer New York, NY
-
eBook Packages: Springer Book Archive
Copyright Information: Plenum Press, New York 1987
Hardcover ISBN: 978-0-306-42454-0Due: 31 July 1987
Softcover ISBN: 978-1-4612-9019-3Published: 12 October 2011
eBook ISBN: 978-1-4613-1823-1Published: 06 December 2012
Edition Number: 1
Number of Pages: 208