Ram D. Sriram

Intelligent Systems for Engineering (eBook, PDF)

A Knowledge-based Approach

• Format: PDF

Produktbeschreibung

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 en 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 en gineering are not amenable to purely algorithmic solutions. These problems are often ill-structured; the term ill-structured problems is used here to de 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 method 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 ca pabilities.

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Produktdetails

• Verlag: Springer London
• Seitenzahl: 804
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781447106319
• Artikelnr.: 44000285

Inhaltsangabe

1 Knowledge-Based Expert Systems: an Overview.- 2 Problem Solving: Introduction to Search Methods.- 3 Knowledge Representation.- 4 Knowledge-Centered Problem Solving Strategies.- 5 Blackboard Systems.- 6 Analogical and Case-Based Reasoning.- 7 Qualitative Reasoning.- 8 Neural Networks.- 9 Project Management.- 10 Knowledge-Based System Building Tools.