论文标题
抽吸可以像常规图一样促进混合良好种群的合作
Aspiration can promote cooperation in well-mixed populations as in regular graphs
论文作者
论文摘要
关于基于志向的动态的经典研究表明，不满意的个人变化策略而不考虑他人的成功。这促进了叛逃的扩散。基于模仿的动态使个人能够在不考虑自己的满意度的情况下模仿成功的策略。在本文中，我们建议研究基于愿望的动态，该动态考虑了对不满意个人的成功策略的模仿。这有助于合作成员抵抗。在决定更新策略之前，个人将成功与所需的满意度进行了比较。这种机制可以帮助具有最少自我满足的个人来维持其策略。如果个人不满意，它将通过选择成功的策略向他人学习。与网络中的结构化种群一样，我们得出了固定概率的精确表达。结果，我们表明选择可能比在混合良好的人群中的叛逃可能更偏爱合作，因为在常规图上的种群中，选择的合作可能更有利于合作。我们证明最好的方案是一个具有较小连接性的图。
Classical studies on aspiration-based dynamics suggest that a dissatisfied individual changes strategy without taking into account the success of others. This promotes defection spreading. The imitation-based dynamics allow individuals to imitate successful strategies without taking into account their own-satisfactions. In this article, we propose to study a dynamic based on aspiration which takes into account imitation of successful strategies for dissatisfied individuals. This helps cooperative members to resist. Individuals compare their success to their desired satisfaction level before making a decision to update their strategies. This mechanism helps individuals with a minimum of self-satisfaction to maintain their strategies. If an individual is dissatisfied, it will learn from others by choosing successful strategies. We derive an exact expression of the fixation probability in well-mixed populations as in structured populations in networks. As a result, we show that selection may favor cooperation more than defection in well-mixed populations as in populations ranged over a regular graph. We show that the best scenario is a graph with small connectivity.
