Recently we introduced a model of symbiosis, Model-S, based on the evolution of seed patterns in Conway's Game of Life. In the model, the fitness of a seed pattern is measured by one-on-one competitions in the Immigration Game, a two-player variation of the Game of Life. This article examines the role of autopoiesis in determining fitness in Model-S. We connect our research on evolution, symbiosis, and autopoiesis with research on soups in the Game of Life community. A soup is a random initial pattern in a cellular automaton, such as the Game of Life. When a game begins, there is usually a flare of rapid change in the soup, resembling a fire spreading through a forest. Eventually the fire burns down and the remaining patterns are called ash. Ashes are stable, oscillating, and flying patterns, studied intensively by the Game of Life community for insights into the game. Ashes are instances of autopoietic structures. We use the apgsearch software (Ash Pattern Generator Search), developed for the study of ash, to analyze autopoiesis in Model-S. We find that the fitness of evolved seed patterns in Model-S is highly correlated with the diversity and quantity of autopoietic structures (ash).

中文翻译：

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生命游戏中的进化、共生和自创生

最近，我们基于 Conway 生命游戏中种子模式的进化，引入了一种共生模型 Model-S。在模型中，种子模式的适应度是通过移民游戏中的一对一比赛来衡量的，移民游戏是生命游戏的两人变体。本文研究了自创生在确定 Model-S 中的适合度方面的作用。我们将我们对进化、共生和自创生的研究与生命游戏社区中的汤研究联系起来。汤是元胞自动机中的随机初始模式，例如生命游戏。比赛开始时，汤中通常会出现快速变化的火焰，就像火焰在森林中蔓延一样。最终，火燃烧殆尽，剩下的图案被称为灰烬。灰烬是稳定的、摆动的、飞扬的图案，由生命游戏社区深入研究以深入了解游戏。骨灰是自创生结构的实例。我们使用为研究灰分而开发的 apgsearch 软件（灰分模式生成器搜索）来分析 Model-S 中的自创生。我们发现 Model-S 中进化种子模式的适应性与自创生结构 (ash) 的多样性和数量高度相关。