JSW 2013 Vol.8(7): 1699-1706 ISSN: 1796-217X
doi: 10.4304/jsw.8.7.1699-1706
doi: 10.4304/jsw.8.7.1699-1706
Self-Reproduction of Worms in Asynchronous Cellular Automata
Xin Huang, Qingsheng Zhu
1College of Computer Science, Chongqing University, Chongqing Key Laboratory of Software Theory & Technology, China
Abstract—This paper proposes a new self-reproductive model for worms in asynchronous cellular automata, in which a variety of worms can be self-reproduced based on the shapeencoding mechanism. By dealing with interplays among worms properly, they can self-reproduce in parallel. Furthermore, self-reproduction of a worm accompanies leaving the shape information, which avoids the overcrowding of worms on cellular space. Experiments show that a space usually results in dominance by only one type of worms due to space competition, even more than one type of worms on a space in the initial, which to some extent displays the characteristic of artificial evolutionary in our self-reproductive model.
Index Terms—Self-reproduction, worms, Asynchronous, Self-timed cellular automata, Interplays.
Abstract—This paper proposes a new self-reproductive model for worms in asynchronous cellular automata, in which a variety of worms can be self-reproduced based on the shapeencoding mechanism. By dealing with interplays among worms properly, they can self-reproduce in parallel. Furthermore, self-reproduction of a worm accompanies leaving the shape information, which avoids the overcrowding of worms on cellular space. Experiments show that a space usually results in dominance by only one type of worms due to space competition, even more than one type of worms on a space in the initial, which to some extent displays the characteristic of artificial evolutionary in our self-reproductive model.
Index Terms—Self-reproduction, worms, Asynchronous, Self-timed cellular automata, Interplays.
Cite: Xin Huang, Qingsheng Zhu, "Self-Reproduction of Worms in Asynchronous Cellular Automata," Journal of Software vol. 8, no. 7, pp. 1699-1706, 2013.
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General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
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