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CLC number: TP391.41; TP18
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
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Pattern formation in mutation of “Game of Life”
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HUANG Wen-gao, PAN Zhi-geng. Pattern formation in mutation of “Game of Life”[J]. Journal of Zhejiang University Science A, 2005, 6(100): 66-69.
@article{title="Pattern formation in mutation of “Game of Life”",
author="HUANG Wen-gao, PAN Zhi-geng",
journal="Journal of Zhejiang University Science A",
volume="6",
number="100",
pages="66-69",
year="2005",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2005.AS0066"
}
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T1 - Pattern formation in mutation of “Game of Life”
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2005.AS0066
Abstract: This paper presents pattern formation in generalized cellular automata (GCA) by varying parameters of classic “game of life”. Different dynamic behaviors are classified. The influence of remembrance of dynamic behavior of GCA is also studied. Experiments show the emergence of the self-organizing patterns that is analogous with life forms at the edge of chaos, which consist of certain nontrivial structure and go through periods of growth, maturity and death. We describe these experiments and discuss their potential as alternative way for creating artificial life and generative art, and as a new method for pattern genesis.
[1] Alonso-Sanz, R., 1999. The historic prisoner
[2] Chua, L.O., 1998. CNN: A Paradigm for Complexity. World Scientific Series on Nonlinear Science, Series A, Vol. 31.
[3] Dogaru, R., 1999. Universal CNN cells. Int. J. Bifurcation and Chaos, 9(1):1-48.
[4] Dogaru, R., Chua, L.O., 1998. Rectification Neural Networks: A Novel Adaptive Architecture and Its Application for Implementing the Local Logic of Cellular Neural Networks. Electronics Research Laboratory Memorandum, No. UCB/ERL M98/4, UC Berkeley.
[5] Dogaru, R., Chua, L.O., 2000. Mutation of the
[6] Gamow, G., 1964. Combinatorial Principles of Genetics. In: Beckenbach, E.F.(Ed.), Applied Combinatorial Mathematics. John Wiley and Sons Inc., New York, p.515-535.
[7] Langton, C.G., 1990. Computation at the edge of chaos: phase transitions and emergent computation. Physica D, 42:12-37.
[8] Peter, S.H., 1974. A algorithm for the distance between two finite sequence. Journal of Combinatorial Theory (A), 16:253-258.
[9] Peter, S.H., 1978. A algorithm for compositions of a multiset. Journal of Combinatorial Theory (A), 24:339-347.
[10] Spector, L., Klein, J., 2002. Complex Adaptive Music Systems in the BREVE Simulation Environment. Workshop Proceedings of the 8th International Conference on the Simulation and Synthesis of Living Systems, Sydney, Australia, p.17-23.
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