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A Series of Monographs on AI in Chemical Engineering
A series of monographs have been and are being written for use as main or supplementary material in advanced undergraduate and graduate courses addressing the application of expert systems or as a working introduction to AI by practicing engineers. Four monographs in the series are available. The purpose of these first four monographs is to provide detailed discussions on the principles, ideas, techniques, methodologies and issues of AI as they apply to chemical engineering. Later monographs will address approaches to specific problems of direct interest to chemical engineers such as fault diagnosis, design, etc. Currently available are: Volume I"Knowledge-Based Systems in Process Engineering: An Overview" is authored by George Stephanopoulos of MIT. This volume serves as an introduction to the monograph series and provides a broad perspective on AI. Specifically, this volume addresses the scope, history and market of AI and defines the need and role of knowledge-based systems in chemical engineering. Particular attention is paid to describing the general issues surrounding software and hardware environments.Volume II"Rule-Based Expert Systems in Chemical Engineering" is authored by James F. Davis and Murthy S. Gandikota of Ohio State University. This monograph focuses specifically on the implementation of knowledge-based systems in rule-based languages. The emphasis is not on the mechanics of rule-based programming environments, but on the issues which impact the implementation and performance of a system. While the focus is on rule-based implementations, many of the issues discussed cut across all general purpose implementation language. Using specific examples, the monograph covers these issues in detail. As a stand alone chapter, several of the most popular methods for various kinds of uncertainty handling are discussed and compared.Volume III"Knowledge Representation" is authored by Lyle Ungar of the University of Pennsylvania and V. Venkatasubramanian of Purdue University. The content of this monograph is directed at two distinct aspects of knowledge representation. In the first part of the monograph, the problem-independent issues and features of a variety of knowledge representations are presented. Included are discussions on semantic networks, frames, scripts and object-oriented programming. The second part addresses the subject of qualitative physics applied in chemical engineering. The issues of representing structure and behavior are discussed in detail. Examples demonstrating two philosophies are used to illustrate advantages and limitations.Volume IV"An Introduction to Object-Oriented Programming in Process Engineering" is authored by Ronald G. Forsythe, Jr. and Suzanne E. Prickett of the University of Maryland and Michael L. Mavrovouniotis of Northwestern University. This monograph is intended to provide an introduction to Object-Oriented Programming and to present examples of its application in the realm of chemical engineering. The examples that have been provided are not intended to represent an in-depth object-oriented analysis of the systems, but are meant to highlight some of the key features of object-oriented programming. It is our intent to capture the attention of those that are just starting to work in the area of computer-aided engineering, as well as those that have been in the field, but have been using procedural languages such as C and FORTRAN.AI Monograph Prices
To order, please complete the Standard Order Form. This link will open a new window. After printing the Order Form, simply close the window to return to this page. Please send comments, suggestions, and corrections to Chris Bailor. 
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