AI Article Synopsis
- We investigated how strategies evolve in spatial public goods games considering both peer and institutional punishments, alongside cooperator and defector strategies.
- Our simulations analyze how different parameters, like punishment costs and synergy factors, affect the distribution of these strategies.
- Findings reveal that peer punishers are dominant in many scenarios, whereas pool punishers thrive only under weak peer punishment; interestingly, both punishment types can hinder each other's effectiveness, potentially leading to defectors' success.
Article Abstract
We have studied the evolution of strategies in spatial public goods games where both individual (peer) and institutional (pool) punishments are present in addition to unconditional defector and cooperator strategies. The evolution of strategy distribution is governed by imitation based on the random sequential comparison of neighbors' payoff for a fixed level of noise. Using numerical simulations, we evaluate the strategy frequencies and phase diagrams when varying the synergy factor, punishment cost, and fine. Our attention is focused on two extreme cases describing all the relevant behaviors in such a complex system. According to our numerical data peer punishers prevail and control the system behavior in a large segments of parameters while pool punishers can only survive in the limit of weak peer punishment when a rich variety of solutions is observed. Paradoxically, the two types of punishment may extinguish each other's impact, resulting in the triumph of defectors. The technical difficulties and suggested methods are briefly discussed.
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| http://dx.doi.org/10.1103/PhysRevE.84.046106 | DOI Listing |
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