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STUDY OF BIOTIC EVOLUTIONARY MECHANISMS BASED ON THE MULTI-AGENT PARRONDO’S GAMES

机译:基于多代理帕隆多游戏的生物进化机制研究

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The paper tries to explain the biological evolutionary mechanism based on Parrondo’sngames. The multi-agent Parrondo’s games proposed include game A and game B.nGame A, a zero-sum game, reflects the interactive relationship of competition or cooperationnbetween individuals. A two-dimensional lattice network is used to representsnthe spatial carrier of interactive relationship. Game B, a negative-sum game, reflectsnthe environmental effect on survival evolution of individuals. Three patterns which arenbased on individual survival states, on historical experience and on neighbors’ environmentnare adopted to represent the mechanisms. The simulation results show that:n(1) A zero-sum game (game A) and a losing game (game B) combined could producena winning result. Improvement of the average fitness of the population represents thenessence that Parrondo’s paradox is counterintuitive. The special structure of game Bnreflects the ratcheting effect that natural environment has on biological evolution wherenboth competition and cooperation are successful evolution directions. (2) The ratchetingneffect of the environment-based pattern is the strongest. In the course of biologicalnevolution, neighbors’ environment usually uses an efficient mechanism to guide the evolution.nJust because of the neighbors’ environment-based guidance, a coevolution modelnis formed where individuals compose the population which composes the communitynand the community composes the ecosystem which composes the biosphere. (3) Competitionncan raise the average fitness of the population. Therefore, competition may benan adaptive behavior on the population level. (4) Research to-date has shown that thennecessary condition of producing cooperation is that the cost is less than profit. Whilenthe results in this paper show that a zero-sum game can also give rise to cooperation,nwhich can bring about positive gain for the whole population
机译:本文试图解释基于Parrondo'sngames的生物进化机制。拟议中的多代理Parrondo游戏包括游戏A和游戏B.nGame A(零和游戏),反映了个人之间竞争或合作的互动关系。二维晶格网络被用来表示交互关系的空间载体。博弈B是负和博弈,反映了环境对个体生存进化的影响。机制采用了三种基于个体生存状态,历史经验和邻居环境的模式。仿真结果表明:n(1)零和游戏(游戏A)和失败游戏(游戏B)的组合可能产生获胜的结果。人口平均适应度的提高表明,帕伦多悖论是违反直觉的。游戏B的特殊结构反映了自然环境对生物进化的棘轮效应,而竞争和合作都是成功的进化方向。 (2)环境模式的棘轮效应最强。在生物进化的过程中,邻居的环境通常使用一种有效的机制来指导进化。只是由于邻居的基于环境的指导,才形成了一个共进化模型,其中个体由人口组成社区,社区由社区组成,生态系统由社区组成。生物圈。 (3)Competitionncan可以提高人口的平均适应度。因此,竞争可能是人口层面的适应行为。 (4)迄今为止的研究表明,进行合作的必要条件是成本小于利润。尽管本文的结果表明,零和博弈也可以促进合作,但这可以为整个人口带来正收益

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