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Machine Models for the Growth of Knowledge: Theory Nets in Prolog

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Imre Lakatos and Theories of Scientific Change

Part of the book series: Boston Studies in the Philosophy of Science ((BSPS,volume 111))

Abstract

In this paper I shall sketch one way that scientific knowledge or information might be stored in a digital computer and used to model the problem solving activity of empirical scientists. Among the types of problem solving activity that might be modeled in this way is that which is a part of some systematically informed “research program” associated with a scientific community. Thus, what I am proposing is, in part at least, a way of making a computer model the kind of scientific activity first described by Imre Lakato.[13] This, I hope, makes the paper an appropriate contribution to a conference in his honor.

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© 1989 Kluwer Academic Publishers

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Sneed, J.D. (1989). Machine Models for the Growth of Knowledge: Theory Nets in Prolog. In: Gavroglu, K., Goudaroulis, Y., Nicolacopoulos, P. (eds) Imre Lakatos and Theories of Scientific Change. Boston Studies in the Philosophy of Science, vol 111. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3025-4_19

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  • DOI: https://doi.org/10.1007/978-94-009-3025-4_19

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-7860-3

  • Online ISBN: 978-94-009-3025-4

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