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International Conference on Logic Programming

ICLP 2002: Logic Programming pp 468Cite as

Multi-adjoint Logic Programming: A Neural Net Approach

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2401))

Abstract

A neural implementation which provides an interesting massively parallel model for computing a fixed-point semantics of a program is introduced for multiadjoint logic programming [3]. Distinctive features of this programming paradigm are that: very general aggregation connectives in the bodies are allowed; by considering different adjoint pairs, it is possible to use several implications in the rules.

Partially supported by Spanish DGI project BFM2000-1054-C02-02.

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References

  1. A. S. d’Avila Garcez and G. Zaverucha. The connectionist inductive learning and logic programming system. Applied Intelligence, 11(1):59–77, 1999.

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  2. S. Hölldobler, Y. Kalinke, and H.-P. Störr. Approximating the semantics of logic programs by recurrent neural networks. Applied Intelligence, 11(1):45–58, 1999.

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  3. J. Medina, M. Ojeda-Aciego, and P. Vojtáš. Multi-adjoint logic programming with continuous semantics. In Logic Programming and Non-Monotonic Reasoning, LP-NMR’01, pages 351–364. Lect. Notes in Artificial Intelligence 2173, 2001.

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Author information

Authors and Affiliations

  1. Dept. Matemática Aplicada, Universidad de Málaga, Spain

    Jesús Medina, Enrique Mérida-Casermeiro & Manuel Ojeda-Aciego

Authors
  1. Jesús Medina
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  2. Enrique Mérida-Casermeiro
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  3. Manuel Ojeda-Aciego
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Software Engineering, University of Melbourne, 221 Bouverie St., Carlton, 3053, Australia

    Peter J. Stuckey

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© 2002 Springer-Verlag Berlin Heidelberg

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Medina, J., Mérida-Casermeiro, E., Ojeda-Aciego, M. (2002). Multi-adjoint Logic Programming: A Neural Net Approach. In: Stuckey, P.J. (eds) Logic Programming. ICLP 2002. Lecture Notes in Computer Science, vol 2401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45619-8_33

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  • DOI: https://doi.org/10.1007/3-540-45619-8_33

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43930-1

  • Online ISBN: 978-3-540-45619-3

  • eBook Packages: Springer Book Archive

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