Knowledge-based Systems in Engineering

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McGraw-Hill, 1991 - Computers - 404 pages
This book integrates the fundamentals of artifical intelligence (AI) approaches to knowledge representation with engineering examples. Its unified treatment makes it an essential tool in this emerging new field. Combining an informed approach to AI with engineering problem solving, this book is suitable for an introductory course on AI/expert systems which is specifically offered to engineers. The text provides an in-depth appreciation of the AI fundamentals underlying knowledge-based systems and covers rule-based, frame-based, and object-oriented representation with many engineering illustrations.

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Contents

INTRODUCTION
1
CONCEPTUAL UNDERPINNINGS
21
DEDUCTION WITH FORMAL LOGIC
57
Copyright

11 other sections not shown

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About the author (1991)

Clive L. Dym is Fletcher Jones Professor of Engineering Design and Director of the Center for Design Education at Harvey Mudd College. His primary interests are in engineering design and structural mechanics. He is the author of several books including Engineering Design: A Synthesis of Views (1994), Structural Modeling and Analysis (1997), Principles of Mathematical Modeling, Second Edition (2004) and Engineering Design: A Project Based Introduction, co-authored with Patrick Little (2008). He has published more than 90 refereed journal articles and is the founding editor of Artificial Intelligence for Engineering Design, Analysis and Manufacturing. He has served on the editorial boards of several other journals, including the ASME's Journal of Mechanical Design.

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