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A Structuralist Approach Towards Computational Scientific Discovery

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Book cover Discovery Science (DS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3245))

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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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References

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Author information

Authors and Affiliations

  1. LIP6, Université P. et M. Curie, 8 rue du Capitaine Scott, 75015, Paris, France

    Charles-David Wajnberg, Vincent Corruble & Jean-Gabriel Ganascia

  2. L.-M.-Universität München, Ludwigstr. 31, 80539, München, Germany

    C. Ulises Moulines

  3. Ecole Normale Supérieure, 45 rue d’Ulm, 75230, Paris Cedex 05, France

    Charles-David Wajnberg & C. Ulises Moulines

Authors
  1. Charles-David Wajnberg
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  2. Vincent Corruble
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  3. Jean-Gabriel Ganascia
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  4. C. Ulises Moulines
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Editor information

Editors and Affiliations

  1. Department of Informatics, Graduate School of Information Science and Electrical Engineering, Kyushu University, 744 Motooka, Nishi, 819-0395, Fukuoka, Japan

    Einoshin Suzuki

  2. Kyushu University, 6–10–1 Hakozaki Higashi-ku, 812–8581, Fukuoka, Japan

    Setsuo Arikawa

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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

  • eBook Packages: Springer Book Archive

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