Social dilemmas are situations in which collective welfare is at odds with individual gain. One widely studied example, due to the conflict it poses between human behaviour and game theoretic reasoning, is the Traveler's Dilemma. The dilemma relies on the players' incentive to undercut their opponent at the expense of losing a collective high payoff. Such individual incentive leads players to a systematic mutual undercutting until the lowest possible payoff is reached, which is the game's unique Nash equilibrium. However, if players were satisfied with a high payoff -- that is not necessarily higher than their opponent's -- they would both be better off individually and collectively. Here, we explain how it is possible to converge to this cooperative high payoff equilibrium. Our analysis focuses on decomposing the dilemma into a local and a global game. We show that players need to escape the local maximisation and jump to the global game, in order to reach the cooperative equilibrium. Using a dynamic approach, based on evolutionary game theory and learning theory models, we find that diversity, understood as the presence of suboptimal strategies, is the general mechanism that enables the jump towards cooperation.
翻译:社会困境是集体福利与个人利益相矛盾的情况。 广泛研究的一个例子是,由于人类行为与游戏理论推理之间的冲突,旅行者的“困境”在于旅行者的“困境”。进退两难取决于玩家的动机,以牺牲集体高额报酬为代价削弱对手。这种个人奖励导致玩家系统地相互排斥,直到达成尽可能最低的得益,也就是游戏独特的纳什平衡。但是,如果玩家对高报酬感到满意 -- -- 这不一定高于对手的得益 -- -- 他们个人和集体的得益都是更好的。在这里,我们解释如何将这种合作性高得益的平衡汇集到一起。我们的分析侧重于将进进一个局部和全球的游戏。我们表明,玩家需要摆脱当地的最大化,跳进全球游戏,以达到合作的平衡。我们根据进化游戏理论和学习理论模型,采用动态方法,发现多样性,被理解为亚优战略的存在,是能够跳向合作的通用机制。