Department of Computer Science, University College London, London, WC1E 6EA, United Kingdom.
Hungarian Academy of Sciences, MTA TK "Lendület" Research Center for Educational and Network Studies (RECENS), Budapest, 1097, Hungary.
Sci Rep. 2018 Jul 24;8(1):11149. doi: 10.1038/s41598-018-29290-0.
Direct and indirect reciprocity are good candidates to explain the fundamental problem of evolution of cooperation. We explore the conditions under which different types of reciprocity gain dominance and their performances in sustaining cooperation in the PD played on simple networks. We confirm that direct reciprocity gains dominance over indirect reciprocity strategies also in larger populations, as long as it has no memory constraints. In the absence of direct reciprocity, or when its memory is flawed, different forms of indirect reciprocity strategies are able to dominate and to support cooperation. We show that indirect reciprocity relying on social capital inherent in closed triads is the best competitor among them, outperforming indirect reciprocity that uses information from any source. Results hold in a wide range of conditions with different evolutionary update rules, extent of evolutionary pressure, initial conditions, population size, and density.
直接互惠和间接互惠是解释合作进化基本问题的良好候选者。我们探索了不同类型的互惠在简单网络上的 PD 中获得优势的条件,以及它们在维持合作方面的表现。我们确认,只要没有记忆约束,直接互惠在较大的群体中也会胜过间接互惠策略。在没有直接互惠的情况下,或者当它的记忆有缺陷时,不同形式的间接互惠策略能够占据主导地位并支持合作。我们表明,依赖于封闭三元组中内在社会资本的间接互惠是其中最好的竞争者,优于利用任何来源信息的间接互惠。结果在具有不同进化更新规则、进化压力程度、初始条件、种群大小和密度的广泛条件下都成立。