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Intelligent Systems for Engineering: A Knowledge-based Approach

✍ Scribed by Dr Ram D. Sriram (auth.)


Publisher
Springer-Verlag London
Year
1997
Tongue
English
Leaves
842
Edition
1
Category
Library

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✦ Synopsis


When men of knowledge impart this knowledge, I do not mean they will convince your reason. I mean they will awaken in you the faith that it is so. - Sri Krishna, Bhagavadgita BACKGROUND The use of computers has led to significant productivity increases in the enΒ­ gineering industry. Most ofthe computer-aided engineering applications were . restricted to algorithmic computations, such as finite element programs and circuit analysis programs. However, a number ofproblems encountered in enΒ­ gineering are not amenable to purely algorithmic solutions. These problems are often ill-structured; the term ill-structured problems is used here to deΒ­ note problems that do not have a clearly defined algorithmic solution. An experienced engineer deals with these ill-structured problems using his/her judgment and experience. The knowledge-based systems (KBS) technology, which emerged out of research in artificial intelligence (AI), offers a methodΒ­ ologyto solve these ill-structuredengineering problems. The emergenceofthe KBS technology can be viewed as the knowledge revolution: other important events that led to increased productivity are the industrial revolution (17th century); the invention of the transistor and associated developments (first half of the 20th century); and the world-wide web (towards the end of the 20th century). Kurzweil, in a lecture at M. LT on December 3, 1987, linked the progress of automation to two industrial revolutions: the first industrial PREFACE xxxii revolution leveraged our physical capabilities, whereas the second industrial revolution - the knowledge revolution - is expected leverage oUr mental caΒ­ pabilities.

✦ Table of Contents


Front Matter....Pages i-xlii
Knowledge-Based Expert Systems: An Overview....Pages 1-34
Problem Solving: Introduction to Search Methods....Pages 35-101
Knowledge Representation....Pages 103-158
Knowledge-Centered Problem Solving Strategies....Pages 159-226
Blackboard Systems....Pages 227-284
Analogical and Case-Based Reasoning....Pages 285-334
Qualitative Reasoning....Pages 335-470
Neural Networks....Pages 471-542
Project Management....Pages 543-600
Knowledge-Based System Building Tools....Pages 601-690
Back Matter....Pages 691-804

✦ Subjects


Engineering Design;Artificial Intelligence (incl. Robotics);Complexity


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