4.8 Article

Evolution of cooperation in stochastic games

期刊

NATURE
卷 559, 期 7713, 页码 246-+

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/s41586-018-0277-x

关键词

-

资金

  1. European Research Council Start Grant: Graph Games [279307]
  2. Austrian Science Fund (FWF) [P23499-N23]
  3. FWF NFN grant Rigorous Systems Engineering/Systematic Methods in Systems Engineering [511407-N23]
  4. Office of Naval Research Grant [N00014-16-1- 2914]
  5. John Templeton Foundation
  6. ISTFELLOW programme

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据