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International Workshop on Unconventional Programming Paradigms

UPP 2004: Unconventional Programming Paradigms pp 155–160Cite as

Bio-inspired Computing Paradigms (Natural Computing)

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3566))

Abstract

This is just a glimpse to the fruitful and continuous preoccupation of computer science to try to get inspired by biology, at various levels. Besides briefly discussing the main areas of natural computing (genetic algorithms–evolutionary computing, neural computing, DNA computing, and membrane computing), we mention some of the hopes and the difficulties/limits of this enterprise.

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Author information

Authors and Affiliations

  1. Institute of Mathematics of the Romanian Academy, PO Box 1-764, 014700, Bucureşti, Romania

    Gheorghe Păun

  2. Research Group on Natural Computing, Department of Computer Science and Artificial Intelligence, University of Sevilla, Avda. Reina Mercedes s/n, 41012, Sevilla, Spain

    Gheorghe Păun

Authors
  1. Gheorghe Păun
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Editor information

Editors and Affiliations

  1. Université de Rennes I and INRIA/IRISA, Campus de Beaulieu, 35042, Rennes Cedex, France

    Jean-Pierre Banâtre

  2. INRIA Rhône-Alpes - POP ART project, 655 avenue de l’Europe, 38330, Montbonnot, France

    Pascal Fradet

  3. LaMI UMR 8042 CNRS – Université d’Evry, Genopole, 523 place des Terrasses de l’Agora, 91000, Evry, France

    Jean-Louis Giavitto  & Olivier Michel  & 

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© 2005 Springer-Verlag Berlin Heidelberg

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Păun, G. (2005). Bio-inspired Computing Paradigms (Natural Computing). In: Banâtre, JP., Fradet, P., Giavitto, JL., Michel, O. (eds) Unconventional Programming Paradigms. UPP 2004. Lecture Notes in Computer Science, vol 3566. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527800_12

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  • DOI: https://doi.org/10.1007/11527800_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27884-9

  • Online ISBN: 978-3-540-31482-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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