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Evolution of cooperation in stochastic games

机译:随机游戏合作的演变

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Social dilemmas occur when incentives for individuals are misaligned with group interests(1-7). According to the 'tragedy of the commons', these misalignments can lead to overexploitation and collapse of public resources. The resulting behaviours can be analysed with the tools of game theory(8). The theory of direct reciprocity(9-15) suggests that repeated interactions can alleviate such dilemmas, but previous work has assumed that the public resource remains constant over time. Here we introduce the idea that the public resource is instead changeable and depends on the strategic choices of individuals. An intuitive scenario is that cooperation increases the public resource, whereas defection decreases it. Thus, cooperation allows the possibility of playing a more valuable game with higher payoffs, whereas defection leads to a less valuable game. We analyse this idea using the theory of stochastic games(16-19) and evolutionary game theory. We find that the dependence of the public resource on previous interactions can greatly enhance the propensity for cooperation. For these results, the interaction between reciprocity and payoff feedback is crucial: neither repeated interactions in a constant environment nor single interactions in a changing environment yield similar cooperation rates. Our framework shows which feedbacks between exploitation and environment-either naturally occurring or designed-help to overcome social dilemmas.
机译:当个人动机与群体利益不符时,就会出现社会困境(1-7)。根据“公地悲剧”,这些错位可能导致过度开发和公共资源崩溃。由此产生的行为可以用博弈论的工具进行分析(8)。直接互惠理论(9-15)表明,反复互动可以缓解这种困境,但是先前的工作假设公共资源会随着时间的推移保持不变。在这里,我们介绍公共资源是可变的,而是取决于个人的战略选择的想法。一个直观的场景是,合作会增加公共资源,而背叛则会减少公共资源。因此,合作使玩家有可能以更高的收益进行更有价值的游戏,而背叛则导致价值不高的游戏。我们使用随机博弈理论(16-19)和进化博弈论来分析这一思想。我们发现,公共资源对先前互动的依赖可以大大增强合作的意愿。对于这些结果,互惠与回报反馈之间的相互作用至关重要:在恒定的环境中重复的相互作用或在变化的环境中的单一相互作用都不会产生相似的合作率。我们的框架显示了开发与环境之间的哪些反馈(无论是自然发生的还是设计的)有助于克服社会困境。

著录项

  • 来源
    《Nature》 |2018年第7713期|246-249|共4页
  • 作者单位

    Harvard Univ, Program Evolutionary Dynam, Cambridge, MA 02138 USA;

    Charles Univ Prague, Fac Math & Phys, Prague, Czech Republic;

    IST Austria, Klosterneuburg, Austria;

    Harvard Univ, Program Evolutionary Dynam, Cambridge, MA 02138 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 02:51:35

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