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Computational models of scientific discovery

Published online by Cambridge University Press:  07 July 2009

Sakir Kocabas
Affiliation:
Marmara Scientific and Technological Research Centre, PK 21, Gebze, Kocaeli, Turkey

Abstract

Computational modelling of scientific discovery is emerging as an important research field in artificial intelligence. Various computational systems modelling different aspects of scientific research and discovery have been developed. This paper looks at some of these models in order to examine how knowledge is organized in such systems, what forms of representation they have, how their methods of learning and representation are integrated, and the effects of representation on learning. The paper also describes the achievements and shortcomings of these systems, and discusses the obstacles in developing more comprehensive models.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1991

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