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RBN-World

A Sub-symbolic Artificial Chemistry

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Advances in Artificial Life. Darwin Meets von Neumann (ECAL 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5777))

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Abstract

We describe a composable dynamical system that uses the emergent properties of coupled random Boolean networks (RBNs) as a basis for a sub-symbolic artificial chemistry. The approach shows potential for open-ended emergent properties and may lead to a foundation for artificial life.

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References

  1. Dittrich, P., Ziegler, J., Banzhaf, W.: Artificial chemistries — a review. Artificial Life 7(3), 225–275 (2001)

    Article  Google Scholar 

  2. Smolensky, P.: On the proper treatment of connectionism. Behavioral and Brain Sciences 11(1), 1–74 (1988)

    Article  Google Scholar 

  3. Kauffman, S.A.: Metabolic stability and epigenesis in randomly constructed genetic nets. Journal of Theoretical Biology 22(3), 437–467 (1969)

    Article  Google Scholar 

  4. Kauffman, S.A.: The Origins of Order. Oxford Univ. Press, Oxford (1993)

    Google Scholar 

  5. Drossel, B.: Random Boolean Networks. Reviews of Nonlinear Dynamics and Complexity, vol. 1, pp. 69–110. Wiley-VCH, Chichester (2008)

    MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. YCCSA, University of York, Heslington, YO10 5DD, UK

    Adam Faulconbridge, Susan Stepney, Julian F. Miller & Leo S. D. Caves

Authors
  1. Adam Faulconbridge
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  2. Susan Stepney
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  3. Julian F. Miller
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  4. Leo S. D. Caves
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Editor information

Editors and Affiliations

  1. Department of Philosophy of Science, Eötvös University, Budapest, Hungary

    George Kampis

  2. Department of Biological Sciences, East Tennessee State University, Box 70703, TN 37614, Johnson City, USA

    István Karsai

  3. Collegium Budapest, Szentháromság u.2, 1014, Budapest, Hungary

    Eörs Szathmáry

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© 2011 Springer-Verlag Berlin Heidelberg

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Faulconbridge, A., Stepney, S., Miller, J.F., Caves, L.S.D. (2011). RBN-World. In: Kampis, G., Karsai, I., Szathmáry, E. (eds) Advances in Artificial Life. Darwin Meets von Neumann. ECAL 2009. Lecture Notes in Computer Science(), vol 5777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21283-3_47

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  • DOI: https://doi.org/10.1007/978-3-642-21283-3_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21282-6

  • Online ISBN: 978-3-642-21283-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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