WIT Press

Artificial Intelligence In Engineering: Past, Present And Future

Price

Free (open access)

Paper DOI

10.2495/AI950011

Volume

10

Pages

14

Published

1995

Size

1,431 kb

Author(s)

G. Rzevski

Abstract

This is a review paper which sets the scene by defining some fundamental concept, such as intelligence and intelligent systems, and then discusses current trends in applications of artificial intelligence in engineering. The author reviews five key paradigms of artificial intelligence in engineering: knowledge-based systems, neural networks, genetic algorithms, fuzzy logic and intelligent agents. Introduction Among a plethora of concepts and methods of artificial intelligence (AI) in engineering, in my opinion, the key paradigms are: 1. knowledge-based systems, 2. neural networks, 3. genetic algorithms, 4. fuzzy logic, and 5. intelligent agents. My prediction is that these paradigms will yield important results for many years from now and that the future will be dominated by the paradigm of intelligent agents. I shall begin by providing my

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