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Evolutionary Successful Strategies in a Transparent iterated Prisoner’s Dilemma

MPG-Autoren
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Unakafov,  Anton M.
Research Group Theoretical Neurophysics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Eule,  Stephan
Department of Nonlinear Dynamics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Wolf,  Fred
Research Group Theoretical Neurophysics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Zitation

Unakafov, A. M., Schultze, T., Kagan, I., Moeller, S., Gail, A., Treue, S., et al. (2019). Evolutionary Successful Strategies in a Transparent iterated Prisoner’s Dilemma. In P. Kaufmann, & P. A. Castillo (Eds.), Applications of Evolutionary Computation: Lecture Notes in Computer Science (pp. 204-219). Cham: Springer International Publishing. doi:10.1007/978-3-030-16692-2_14.


Zitierlink: https://hdl.handle.net/21.11116/0000-0009-D48A-C
Zusammenfassung
A Transparent game is a game-theoretic setting that takes
action visibility into account. In each round, depending on the relative timing of their actions, players have a certain probability to see their partner’s choice before making their own decision. This probability is determined by the level of transparency. At the two extremes, a game with zero
transparency is equivalent to the classical simultaneous game, and a game
with maximal transparency corresponds to a sequential game. Despite the
prevalence of intermediate transparency in many everyday interactions
such scenarios have not been sufficiently studied. Here we consider a transparent iterated Prisoner’s dilemma (iPD) and use evolutionary simulations to investigate how and why the success of various strategies changes
with the level of transparency.We demonstrate that non-zero transparency
greatly reduces the set of successful memory-one strategies compared to
the simultaneous iPD. For low and moderate transparency the classical
“Win - Stay, Lose - Shift” (WSLS) strategy is the only evolutionary successful strategy. For high transparency all strategies are evolutionary unstable
in the sense that they can be easily counteracted, and, finally, for maximal
transparency a novel “Leader-Follower” strategy outperforms WSLS. Our
results provide a partial explanation for the fact that the strategies proposed for the simultaneous iPD are rarely observed in nature, where high
levels of transparency are common.