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Conductivity, Memristivity and Creativity in Cellular Automata

  • Conference paper
Cellular Automata (ACRI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8751))

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Abstract

Cellular automata is a universal tool in literally any field of sciences and engineering yet more applications and weird discoveries are to come. We show how three barely related natural phenomena — conductivity of an excitable medium, networks of resistors with memory and structure of schizotypy versus cognitive control mental space -— are represented in two-dimensional cellular automata with two or three states, and what discoveries we made using these models. This is an abstract of the talk at the conference on cellular automata, thus we do not provide any basics on cellular automata.

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References

  1. Adamatzky, A.: Reaction-Diffusion Automata. Elsevier (2013)

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  2. Adamatzky, A.: Patterns of conductivity in excitable automata with updatable intervals of excitations. Phys. Rev. E 86, 056105 [16 pages] (2013)

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  3. Adamatzky, A., Chua, L.: Phenomenology of retained refractoriness: On semi-memristive discrete media. Int. J. Bifurcation Chaos 22, 1230036 [19 pages] (2012)

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Author information

Authors and Affiliations

  1. Unconventional Computing Centre, University of the West of England, United Kingdom

    Andrew Adamatzky

Authors
  1. Andrew Adamatzky
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Editors and Affiliations

  1. Dept. of Applied Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, 30-059, Krakow, Poland

    Jarosław Wąs

  2. Dept. of Electrical and Computer Engineering, Democritus University of Thrace, 67100, Xanthi, Greece

    Georgios Ch. Sirakoulis

  3. CSAI - Complex Systems and Artificial Intelligence Research Center, University of Milano-Bicocca, 20126, Milan, Italy

    Stefania Bandini

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© 2014 Springer International Publishing Switzerland

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Adamatzky, A. (2014). Conductivity, Memristivity and Creativity in Cellular Automata. In: Wąs, J., Sirakoulis, G.C., Bandini, S. (eds) Cellular Automata. ACRI 2014. Lecture Notes in Computer Science, vol 8751. Springer, Cham. https://doi.org/10.1007/978-3-319-11520-7_1

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  • DOI: https://doi.org/10.1007/978-3-319-11520-7_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11519-1

  • Online ISBN: 978-3-319-11520-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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