A Knowledge-based Approach
Buch, Englisch, 804 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1420 g
ISBN: 978-3-540-76128-0
Verlag: Springer
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.
Zielgruppe
Graduate
Autoren/Hrsg.
Weitere Infos & Material
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.
