Department of Economics, Monash University, Melbourne, Australia.
SoDa Laboratories, Monash Business School, Monash University, Melbourne, Australia.
PLoS Comput Biol. 2020 Jan 21;16(1):e1007557. doi: 10.1371/journal.pcbi.1007557. eCollection 2020 Jan.
For almost four decades, cooperation has been studied through the lens of the prisoner's dilemma game, with cooperation modelled as the play of a specific strategy. However, an alternative approach to cooperative behavior has recently been proposed. Known as collaboration, the new approach considers mutualistic strategic choice and can be applied to any game. Here, we bring these approaches together and study the effect of collaboration on cooperative dynamics in the standard prisoner's dilemma setting. It turns out that, from a baseline of zero cooperation in the absence of collaboration, even relatively rare opportunities to collaborate can support material, and robust, levels of cooperation. This effect is mediated by the interaction structure, such that collaboration leads to greater levels of cooperation when each individual strategically interacts with relatively few other individuals, matching well-known characteristics of human interaction networks. Conversely, collaboratively induced cooperation vanishes from dense networks, thus placing environmental limits on collaboration's successful role in cooperation.
近四十年来,合作一直是通过囚徒困境博弈的视角来研究的,合作被建模为特定策略的博弈。然而,最近提出了一种合作行为的替代方法。被称为协作,这种新方法考虑了互利的战略选择,可以应用于任何博弈。在这里,我们将这些方法结合起来,研究了协作对标准囚徒困境设置中合作动态的影响。事实证明,从没有协作的情况下合作率为零的基线开始,即使协作的机会相对较少,也可以支持物质和稳健的合作水平。这种影响是由相互作用结构介导的,使得当每个个体与相对较少的其他个体进行策略性交互时,协作会导致更高水平的合作,这与人类相互作用网络的已知特征相匹配。相反,协作诱导的合作在密集网络中消失,从而为协作在合作中成功发挥作用设置了环境限制。