Adaptability and Homeostasis in the Game of Life interacting with the evolved Cellular Automata

Keisuke Suzuki and Takashi Ikegami
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Keisuke Suzuki: RIKEN Brain Science Institute, Japan
Takashi Ikegami: The University of Tokyo, Japan

International Journal of Natural Computing Research (IJNCR), 2010, vol. 1, issue 3, 40-50

Abstract: In this paper, the authors study the emergence of homeostasis in a two-layer system of the Game of Life, in which the Game of Life in the first layer couples with another system of cellular automata in the second layer. Homeostasis is defined as a space-time dynamic that regulates the number of cells in state-1 in the Game of Life layer. A genetic algorithm is used to evolve the rules of the second layer to control the pattern of the Game of Life. The authors found that two antagonistic attractors control the numbers of cells in state-1 in the first layer. The homeostasis sustained by these attractors is compared with the homeostatic dynamics observed in Daisy World.

Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jncr00:v:1:y:2010:i:3:p:40-50

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