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An analysis of network reciprocity in Prisoner's Dilemma games using Full Factorial Designs of Experiment

机译:使用全因子实验设计分析“囚徒困境”游戏中的网络互惠

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Despite hundreds of studies on the Prisoner's Dilemma (PD) game, understanding about network reciprocity remains a unsolved puzzle. Thus, we performed a series of Full Factorial Design of Experiments (FFDOE) to evaluate what dominates emerging cooperation in the PD game on various networks. The results qualitatively reveal the influence of each factor and show that some combinations of factors have complicated interactions. Remarkably, the choice of strategy update rule or update dynamics is much more important than the type of network imposed or, at least, the factorial effect of the average degree of the network reported by Nowak (Science 314, 5805, 1560-1563, 2006) and Ohtsuki et al. (Nature 441, 502-505, 2006). Furthermore, the decision of which PD game type to investigate (whether all PD games, PD-Chicken boundary games or Donor & Recipient games) is important for discussing network reciprocity.
机译:尽管对囚徒困境(PD)游戏进行了数百项研究,但对网络互惠性的理解仍然是一个尚未解决的难题。因此,我们进行了一系列的全因子实验设计(FFDOE),以评估在各种网络上PD游戏中新兴合作中的主导力。结果定性地揭示了每个因素的影响,并表明某些因素组合具有复杂的相互作用。值得注意的是,策略更新规则或更新动态的选择比所施加的网络类型重要,或者至少比Nowak报告的网络平均程度的阶乘影响重要(Science 314,5805,1560-1563,2006 )和Ohtsuki等。 (自然441,502-505,2006)。此外,对于讨论网络互惠性,决定要调查哪种PD游戏类型(所有PD游戏,PD鸡边界游戏还是Donor&Recipient游戏)的决定很重要。

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