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Indirect reciprocity with optional games and monitoring of interactions between defectors
Whan Ghang1, Jason Olejarz2, Martin A Nowak3
1Program for Evolutionary Dynamics, Harvard University, Cambridge, MA 02138, USA; Department of Mathematics, Harvard University, Cambridge, MA 02138, USA.
Abstract:
We study evolution of cooperation by indirect reciprocity with optional interactions. There are repeated interactions between two types of players, cooperators and defectors, in a population of finite size. Previously, we considered the scenario where an encounter between a cooperator and a defector results in the defector's identity being revealed with some probability, while an encounter between two defectors does not reveal their identities. Here, we study a generalization of this model: an encounter between a cooperator and a defector results in the defector's identity being revealed with probability QC; an encounter between two defectors results in each of those defectors' identities being revealed independently with probability QD. We find that larger values of QD can significantly increase both the average payoffs for cooperators and, in a dynamical setting, the basin of attraction for cooperation. Moreover, if QC is sufficiently small and QD is sufficiently large, then we find a new behavior over the previous model in which cooperators and defectors can stably coexist. We also study hesitation to cooperate with unknown individuals and defectors refusing interactions with known defectors to preserve their own unknown status.
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