Evolution of extortion in Iterated Prisoner’s Dilemma games

Edited by Kenneth Wachter, University of California, Berkeley, CA, and approved March 15, 2013 (received for review August 29, 2012)
April 9, 2013
110 (17) 6913-6918

Abstract

Iterated games are a fundamental component of economic and evolutionary game theory. They describe situations where two players interact repeatedly and have the ability to use conditional strategies that depend on the outcome of previous interactions, thus allowing for reciprocation. Recently, a new class of strategies has been proposed, so-called “zero-determinant” strategies. These strategies enforce a fixed linear relationship between one’s own payoff and that of the other player. A subset of those strategies allows “extortioners” to ensure that any increase in one player’s own payoff exceeds that of the other player by a fixed percentage. Here, we analyze the evolutionary performance of this new class of strategies. We show that in reasonably large populations, they can act as catalysts for the evolution of cooperation, similar to tit-for-tat, but that they are not the stable outcome of natural selection. In very small populations, however, extortioners hold their ground. Extortion strategies do particularly well in coevolutionary arms races between two distinct populations. Significantly, they benefit the population that evolves at the slower rate, an example of the so-called “Red King” effect. This may affect the evolution of interactions between host species and their endosymbionts.

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Acknowledgments

We thank M. Abou Chakra, A. Traulsen, J.A. Damore and R. Trivers for useful discussions. K.S. acknowledges support from the Foundational Questions in Evolutionary Biology Fund (Grant RFP-12-21).

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Published in

The cover image for PNAS Vol.110; No.17
Proceedings of the National Academy of Sciences
Vol. 110 | No. 17
April 23, 2013
PubMed: 23572576

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Submission history

Published online: April 9, 2013
Published in issue: April 23, 2013

Keywords

  1. replicator dynamics
  2. adaptive dynamics

Acknowledgments

We thank M. Abou Chakra, A. Traulsen, J.A. Damore and R. Trivers for useful discussions. K.S. acknowledges support from the Foundational Questions in Evolutionary Biology Fund (Grant RFP-12-21).

Notes

This article is a PNAS Direct Submission.

Authors

Affiliations

Christian Hilbe
Evolutionary Theory Group, Max Planck Institute for Evolutionary Biology, 24306 Plön, Germany;
Martin A. Nowak
Program for Evolutionary Dynamics, Harvard University, Cambridge, MA 02138;
Karl Sigmund1 [email protected]
Faculty of Mathematics, University of Vienna, A-1090 Vienna, Austria; and
International Institute for Applied Systems Analysis, A-2361 Laxenburg, Austria

Notes

1
To whom correspondence should be addressed. E-mail: [email protected].
Author contributions: C.H., M.A.N., and K.S. designed research, performed research, analyzed data, and wrote the paper.

Competing Interests

The authors declare no conflict of interest.

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    Evolution of extortion in Iterated Prisoner’s Dilemma games
    Proceedings of the National Academy of Sciences
    • Vol. 110
    • No. 17
    • pp. 6609-7097

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