Abstract

In reality, most individuals are prone to vary strategies when interacting with their counterparts; thus, it is highly likely that different strategies will be applied when confronting with different players, being referred to as interactive diversity. Numerous scholars have devoted their endless efforts into the investigation of the emergence and maintenance of cooperation for interactive diversity scenarios and this becomes an interesting research topic recently. However, evolutionary dynamics of such games still needs to be further studied. Here, a co-evolving mechanism is proposed aiming to study the effects of applying different updating rules on the level of cooperation when considering interactive diversity. Teaching and learning updating rules are considered in the co-evolving mechanism. Then, we have done extensive experiments and corresponding simulation results are provided. Sufficient analyses of the simulation results are given in order to understand the origin of the observed experimental phenomena. We find the fact that with the increase of the proportion of Type-T players, individuals start to adopt the strategy of cooperation even if the temptation to defect is relatively large; this indicates players are inclined to cooperate under such scenario. All in all, we hope the findings in this manuscript are capable of providing some valuable and interesting insights to solve the social dilemmas.

Graphic abstract

中文翻译：

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通过纳入互动式多样性调查更新规则对合作的影响

摘要

实际上，大多数人在与对方互动时倾向于采取不同的策略。因此，很可能在面对不同参与者时会采用不同的策略，这被称为互动多样性。众多学者不遗余力地研究了交互多样性场景下合作的出现和维持，这成为近来有趣的研究课题。但是，此类游戏的进化动力学仍需进一步研究。在此，提出了一种共同发展的机制，旨在研究在考虑交互多样性时应用不同的更新规则对合作水平的影响。协同发展机制考虑了教与学的更新规则。然后，我们已经进行了广泛的实验，并提供了相应的仿真结果。给出了对模拟结果的充分分析，以了解观察到的实验现象的起源。我们发现，随着T型玩家比例的增加，即使对缺陷的诱惑相对较大，个人也开始采取合作策略。这表明玩家倾向于在这种情况下进行合作。总而言之，我们希望本手稿中的发现能够提供一些有价值和有趣的见解，以解决社会难题。我们发现，随着T型玩家比例的增加，即使对缺陷的诱惑相对较大，个人也开始采用合作策略。这表明玩家倾向于在这种情况下进行合作。总而言之，我们希望本手稿中的发现能够提供一些有价值和有趣的见解，以解决社会难题。我们发现，随着T型玩家比例的增加，即使对缺陷的诱惑相对较大，个人也开始采用合作策略。这表明玩家倾向于在这种情况下进行合作。总而言之，我们希望本手稿中的发现能够提供一些有价值和有趣的见解，以解决社会难题。

图形摘要