Tanimoto Jun
Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga-shi, Fukuoka 816-8580, Japan.
Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Jun;87(6):062136. doi: 10.1103/PhysRevE.87.062136. Epub 2013 Jun 25.
Unlike other natural network systems, assortativity can be observed in most human social networks; however, it has been reported that a social dilemma situation represented by a 2×2 prisoner's dilemma game favors dissortativity to enhance cooperation. Our simulations successfully reveal that a public goods game with coevolution for both agents' strategy and network topology encourages assortativity, although it only slightly enhances cooperation as compared to a 2×2 donor and recipient game with a strong dilemma to be solved. This outcome occurs because the network dynamics in a multiplayer game discourages emerging cooperation unlike its beneficial result in a 2×2 prisoner's dilemma game.
与其他自然网络系统不同,在大多数人类社交网络中都能观察到同配性;然而,据报道,以2×2囚徒困境博弈为代表的社会困境情境有利于异配性以促进合作。我们的模拟成功揭示,一个同时对参与者策略和网络拓扑进行共同进化的公共物品博弈会促进同配性,尽管与一个有待解决的强困境的2×2捐赠者与接受者博弈相比,它对合作的促进作用很小。出现这种结果是因为多人博弈中的网络动态不利于新出现的合作,这与它在2×2囚徒困境博弈中的有益结果不同。