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Non-uniform Cellular Automata based on Open-ended Rule Evolution

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Abstract

Cellular automata (CAs) are mathematical models of spatially and temporally discrete mathematical systems. Non-uniform CAs are the cellular automata in which each cell may contain a different transition rule and change it with time, while all cells share the same transition rule in regular CAs. Little is still known about the dynamics of open-ended evolution of rules in non-uniform CAs. The purpose of our study is to construct and investigate a model of non-uniform CAs capable of open-ended rule evolution exhibiting a wide variety of behavior across all Wolfram’s classes. For this purpose, we construct 1-dimensional 2-state 3 neighborhood non-uniform CAs with evolving transition rules. In the model, we found an interesting dynamics that Class II (periodical behavior) and III (chaotic behavior) patterns emerged alternately, between which Class IV patterns sometimes emerged.

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References

  1. Wolfram S (2002) A new kind of science. Wolfram Media Inc, Champaign

    MATH  Google Scholar 

  2. Langton CG (1990) Computation at the edge of chaos: phase transitions and emergent computation. Phys D Nonlinear Phenom 42(1):12–37

    Article  MathSciNet  Google Scholar 

  3. Mori T, Kudo K, Namagawa Y, Nakamura R, Yamakawa O, Suzuki H, Uesugi T (1998) Edge of chaos in rule-changing cellular automata. Phys D Nonlinear Phenom 116(3):275–282

    Article  MATH  Google Scholar 

  4. Packard NH (1988) Adaptation toward the edge of chaos. In: Mandell AJ, Kelso JAS, Schlesinger MF (eds) Dynamic patterns in complex systems. World Scientific, Singapore, pp 293–301

    Google Scholar 

  5. Mitchell M, Hraber PT, Crutchfield JP (1993) Revisiting the edge of chaos: evolving cellular automata to perform computations. Complex Syst 7:89–130

    MATH  Google Scholar 

  6. Sipper M (1996) Co-evolving non-uniform cellular automata to perform computations. Phys D Nonlinear Phenom 92(3):193–208

    Article  MathSciNet  MATH  Google Scholar 

  7. Sipper M (1997) The evolution of parallel cellular machines: toward evolware. BioSystems 42(1):29–43

    Article  Google Scholar 

  8. Vassilev VK, Miller JF, Fogarty TC (1999) The evolution of computation in co-evolving demes of non-uniform cellular automata for global synchronisation. In: Proceedings of the 5th European Conference on Artificial Life (ECAL), pp 159–169

  9. Romano ALT, Gomes L, Gomes G, Puma-Villanueva W, Zanetti M (2006) Evolutionary modeling of larval dispersal in blowflies using non-uniform cellular automata. In: Proceedings of the IEEE congress on evolutionary computation (CEC), pp 127–134

  10. Romano ALT, Puma-Villanueva WJ, Zanetti MS, Von Zuben FJ (2009) Synthesis of spatio-temporal models by the evolution of non-uniform cellular automata. Found Computat Intell 4:85–104

    Google Scholar 

  11. Sondahl F, Rand W (2007) Evolution of non-uniform cellular automata using a genetic algorithm: diversity and computation. In: Proceedings of genetic and evolutionary computation conference (GECCO), p 1531

  12. Li W, Packard N (1990) The structure of the elementary cellular automata rule space. Complex Syst 4(3):281–297

    MathSciNet  Google Scholar 

  13. Artificial Life Laboratory at Nagoya University (2012) The poster of “Alart\_2012”. http://www.vision.ss.is.nagoya-u.ac.jp/clas/programs/docs/2012_alart2012.pdf (in Japanese)

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Correspondence to Noritsugu Sughimura.

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This work was presented in part at the 18th International Symposium on Artificial Life and Robotics, Daejeon, Korea, January 30–February 1, 2013.

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Sughimura, N., Suzuki, R. & Arita, T. Non-uniform Cellular Automata based on Open-ended Rule Evolution. Artif Life Robotics 19, 120–126 (2014). https://doi.org/10.1007/s10015-014-0145-1

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  • DOI: https://doi.org/10.1007/s10015-014-0145-1

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