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A Cellular Automata Model of Population Infected by Periodic Plague

机译:周期性鼠疫感染的细胞自动机模型。

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Evolution of a population consisting of individuals, each holding a unique "genetic code", is modeled on the 2D cellular automata lattice. The "genetic code" represents three episodes of life: the "youth", the "maturity" and the "old age". Only the "mature" individuals can procreate. Durations of the life-episodes are variable and are modified due to evolution. We show that the "genetic codes" of individuals self-adapt to environmental conditions in such a way that the entire ensemble has the greatest chance to survive. For a stable environment, the "youth" and the "mature" periods extend extremely during evolution, while the "old age" remains short and insignificant. The unstable environment is modeled by periodic plagues, which attacks the colony. For strong plaques the "young" individuals vanishes while the length of the "old age" period extends. We concluded that while the "maturity" period decides about the reproductive power of the population, the idle life-episodes set up the control mechanisms allowing for self-adaptation of the population to hostile environment. The "youth" accumulates reproductive resources while the "old age" accumulates the space required for reproduction.
机译:在2D细胞自动机晶格上模拟由每个个体组成的种群的进化,每个个体都有一个唯一的“遗传密码”。 “遗传密码”代表生活的三个阶段:“青年”,“成熟”和“老年”。只有“成熟”的人才能繁殖。寿命的持续时间是可变的,并且由于进化而被修改。我们表明,个体的“遗传密码”以一种适合整个环境的方式自我适应,从而使整个合奏团有最大的生存机会。对于一个稳定的环境,“青年”和“成熟”时期在进化过程中会极为延长,而“老年”则仍然短暂而微不足道。不稳定的环境以周期性的瘟疫为模型,这些瘟疫袭击了殖民地。对于强斑块,“年轻”个体消失,而“老年”时期延长。我们得出的结论是,尽管“成熟”时期决定着人口的生殖能力,但闲散的生活过程却建立了控制机制,使人口能够适应敌对环境。 “青年”积累了生殖资源,而“老年”积累了繁殖所需的空间。

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