Abstract
This paper introduces a new collaborative work between AI and philosophy of science, and an original system for machine discovery. Our present goal is to apply the precepts of a major philosophical methodology, namely structuralism, in order to build theory-nets. The proposed framework handles many kinds of operators, including some that lead to the creation of concepts, and we illustrate how it can create theories with physical concepts in an example from collision mechanics.
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© 2004 Springer-Verlag Berlin Heidelberg
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Wajnberg, CD., Corruble, V., Ganascia, JG., Moulines, C.U. (2004). A Structuralist Approach Towards Computational Scientific Discovery. In: Suzuki, E., Arikawa, S. (eds) Discovery Science. DS 2004. Lecture Notes in Computer Science(), vol 3245. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30214-8_38
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DOI: https://doi.org/10.1007/978-3-540-30214-8_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23357-2
Online ISBN: 978-3-540-30214-8
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