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Automatic induction of DEVS structures

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Computer Aided Systems Theory — EUROCAST '95 (EUROCAST 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1030))

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Abstract

Machine Learning methods seem to help for model-building in the field of Systems Theory. In this work, we present a study on a method for automatically inducing a discrete event structure (DEVS) from descriptions of behaviours of a system. To this end, both inductive learning and DEVS formalisms have been made compatible in order to translate input data into a form usable by the inductor. Morover, the language used in classical inductive learning algorithms must be enhanced to cope with the temporal characteristics of input data.

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References

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Authors and Affiliations

  1. Dept. Computación, Fac. Informatica, University of A Coruña, E-15071, A Coruña, Spain

    Ramón P. Otero, David Lorenzo & Pedro Cabalar

Authors
  1. Ramón P. Otero
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  2. David Lorenzo
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  3. Pedro Cabalar
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Editor information

Franz Pichler Roberto Moreno Díaz Rudolf Albrecht

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© 1996 Springer-Verlag Berlin Heidelberg

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Otero, R.P., Lorenzo, D., Cabalar, P. (1996). Automatic induction of DEVS structures. In: Pichler, F., Díaz, R.M., Albrecht, R. (eds) Computer Aided Systems Theory — EUROCAST '95. EUROCAST 1995. Lecture Notes in Computer Science, vol 1030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0034769

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  • DOI: https://doi.org/10.1007/BFb0034769

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60748-9

  • Online ISBN: 978-3-540-49358-7

  • eBook Packages: Springer Book Archive

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