Punish, but not too hard: how costly punishment spreads in the spatial public goods game

被引:362
作者
Helbing, Dirk [1 ,2 ,3 ]
Szolnoki, Attila [4 ]
Perc, Matjaz [5 ]
Szabo, Gyoergy [4 ]
机构
[1] ETH, CLU E1, CH-8092 Zurich, Switzerland
[2] Santa Fe Inst, Santa Fe, NM 87501 USA
[3] Coll Budapest, Inst Adv Study, H-1014 Budapest, Hungary
[4] Res Inst Tech Phys & Mat Sci, H-1525 Budapest, Hungary
[5] Univ Maribor, Fac Nat Sci & Math, SI-2000 Maribor, Slovenia
关键词
COOPERATION; EVOLUTION; DYNAMICS; EMERGENCE;
D O I
10.1088/1367-2630/12/8/083005
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We study the evolution of cooperation in spatial public goods games where, besides the classical strategies of cooperation (C) and defection (D), we consider punishing cooperators (PC) or punishing defectors (PD) as an additional strategy. Using a minimalist modeling approach, our goal is to separately clarify and identify the consequences of the two punishing strategies. Since punishment is costly, punishing strategies lose the evolutionary competition in case of well-mixed interactions. When spatial interactions are taken into account, however, the outcome can be strikingly different, and cooperation may spread. The underlying mechanism depends on the character of the punishment strategy. In the case of cooperating punishers, increasing the fine results in a rising cooperation level. In contrast, in the presence of the PD strategy, the phase diagram exhibits a reentrant transition as the fine is increased. Accordingly, the level of cooperation shows a non-monotonous dependence on the fine. Remarkably, punishing strategies can spread in both cases, but based on largely different mechanisms, which depend on the cooperativeness (or not) of punishers.
引用
收藏
页数:14
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