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首页> 外文期刊>Micromachines >Possibility of Controlling Self-Organized Patterns with Totalistic Cellular Automata Consisting of Both Rules like Game of Life and Rules Producing Turing Patterns
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Possibility of Controlling Self-Organized Patterns with Totalistic Cellular Automata Consisting of Both Rules like Game of Life and Rules Producing Turing Patterns

机译：包括生命游戏规则和图灵模式产生规则的全细胞自动机控制自组织模式的可能性

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The basic rules of self-organization using a totalistic cellular automaton (CA) were investigated, for which the cell state was determined by summing the states of neighboring cells, like in Conway’s Game of Life. This study used a short-range and long-range summation of the cell states around the focal cell. These resemble reaction-diffusion (RD) equations, in which self-organizing behavior emerges from interactions between an activating factor and an inhibiting factor. In addition, Game-of-Life-type rules, in which a cell cannot survive when adjoined by too many or too few living cells, were applied. Our model was able to mimic patterns characteristic of biological cells, including movement, growth, and reproduction. This result suggests the possibility of controlling self-organized patterns. Our model can also be applied to the control of engineering systems, such as multirobot swarms and self-assembling microrobots.
机译：研究了使用全能细胞自动机（CA）进行自我组织的基本规则，为此，通过汇总相邻细胞的状态来确定细胞状态，例如在Conway的《生命游戏》中。这项研究使用了聚焦细胞周围细胞状态的近距离和远距离求和。这些类似于反应扩散（RD）方程，其中自激活因子和抑制因子之间的相互作用产生了自组织​​行为。另外，应用了生命游戏类型的规则，即当细胞与太多或太少的活细胞相邻时，细胞将无法生存。我们的模型能够模仿生物细胞的特征模式，包括运动，生长和繁殖。该结果表明控制自组织模式的可能性。我们的模型还可以应用于工程系统的控制，例如多机器人群和自组装微型机器人。

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