This six-volume set presents cutting-edge advances and applications of expert systems. Because expert systems combine the expertise of engineers, computer scientists, and computer programmers, each group will benefit from buying this important reference work.<P><BR>An "expert system" is a knowledge-based computer system that emulates the decision-making ability of a human expert. The primary role of the expert system is to perform appropriate functions under the close supervision of the human, whose work is supported by that expert system. In the reverse, this same expert system can monitor and double check the human in the performance of a task. Human-computer interaction in our highly complex world requires the development of a wide array of expert systems. <BR>Key Features<BR>* Expert systems techniques and applications are presented for a diverse array of topics including: <BR>* Experimental design and decision support<BR>* The integration of machine learning with knowledge acquisition for the design of expert systems<BR>* Process planning in design and manufacturing systems and process control applications<BR>* Knowledge discovery in large-scale knowledge bases<BR>* Robotic systems <BR>* Geograhphic information systems<BR>* Image analysis, recognition and interpretation<BR>* Cellular automata methods for pattern recognition<BR>* Real-time fault tolerant control systems<BR>* CAD-based vision systems in pattern matching processes<BR>* Financial systems<BR>* Agricultural applications<BR>* Medical diagnosis

This set comprises six volumes with a total of 50 contributions from an international cast of contributors affiliated with academic, commercial, and research institutions around the world. It is intended to serve for many years as a basic reference in the diverse fields where the development of expert systems has had and will have an impact, among them, agriculture, business, chemistry, communications, education, image processing, information management, law, medicine, military, mining, and transportation—to name a few. Applications are burgeoning now, an indication that the technology is maturing after several roller coaster decades of high hopes and disappointing performances (e.g. the 1987 stock market crash, which stemmed from flawed systems of computerized trading). A sampling of topics: decision trees, reasoning with imperfect information, experimental design and decision support, real-time fault-tolerant control systems, process planning in design and manufacturing systems, genetic image interpretation, automatic harvest systems, legacy data utilization, investment decision making, pediatric syndrome diagnosis. Each chapter is outlined and includes references. The index occupies 22 pages and is present only in the sixth volume.
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From the Preface

"This set consists of six, well-integrated volumes on the broad subject of expert systems techniques and applications....All of the contributors to this work are to be highly commended for their splendid contributions that will provide a significant and unique reference for students, research workers, practitioners, computer scientists, and others on the international scene for years to come."

--Cornelius T. Leondes

Cornelius T. Leondes received his B.S., M.S., and Ph.D. from the University of Pennsylvania and has held numerous positions in industrial and academic institutions. He is currently a Professor Emeritus at the University of California, Los Angeles. He has also served as the Boeing Professor at the University of Washington and as an adjunct professor at the University of California, San Diego. He is the author, editor, or co-author of more than 100 textbooks and handbooks and has published more than 200 technical papers. In addition, he has been a Guggenheim Fellow, Fulbright Research Scholar, IEEE Fellow, and a recipient of IEEE's Baker Prize Award and Barry Carlton Award.

ems

Model-Based Process Fault Diagnosis

VOLUME 6

Automation of Concept Development

A Methodology for Building Case-Based Reasoning Systems in Ill-Structured Optimization Domains

The Trainor System: Applying QR Techniques to Intelligent Tutoring Systems

Structuring Expert Control Using the Integrated Process Supervision Architecture

TAP: An Inquiry Teaching Shell Using both Rule-Based and State-Space Approaches

Self Teaching and Exploratory Task-Learning Methods in Unkown Environments and Applications in Robotic Skills