%0 Journal Article %1 Imhof2005 %A Imhof, Lorens A. %A Fudenberg, Drew %A Nowak, Martin A. %D 2005 %J Proc. Natl. Acad. Sci. U. S. A. %K game-theory cyclic-games %N 31 %P 10797 %R 10.1073/pnas.0502589102 %T Evolutionary cycles of cooperation and defection %V 102 %X The main obstacle for the evolution of cooperation is that natural selection favors defection in most settings. In the repeated prisoner's dilemma, two individuals interact several times, and, in each round, they have a choice between cooperation and defection. We analyze the evolutionary dynamics of three simple strategies for the repeated prisoner's dilemma: always defect (ALLD), always cooperate (ALLC), and tit-for-tat (TFT). We study mutation–selection dynamics in finite populations. Despite ALLD being the only strict Nash equilibrium, we observe evolutionary oscillations among all three strategies. The population cycles from ALLD to TFT to ALLC and back to ALLD. Most surprisingly, the time average of these oscillations can be entirely concentrated on TFT. In contrast to the classical expectation, which is informed by deterministic evolutionary game theory of infinitely large populations, stochastic evolution of finite populations need not choose the strict Nash equilibrium and can therefore favor cooperation over defection.

@article{Imhof2005, abstract = {The main obstacle for the evolution of cooperation is that natural selection favors defection in most settings. In the repeated prisoner's dilemma, two individuals interact several times, and, in each round, they have a choice between cooperation and defection. We analyze the evolutionary dynamics of three simple strategies for the repeated prisoner's dilemma: always defect (ALLD), always cooperate (ALLC), and tit-for-tat (TFT). We study mutation–selection dynamics in finite populations. Despite ALLD being the only strict Nash equilibrium, we observe evolutionary oscillations among all three strategies. The population cycles from ALLD to TFT to ALLC and back to ALLD. Most surprisingly, the time average of these oscillations can be entirely concentrated on TFT. In contrast to the classical expectation, which is informed by deterministic evolutionary game theory of infinitely large populations, stochastic evolution of finite populations need not choose the strict Nash equilibrium and can therefore favor cooperation over defection.}, added-at = {2011-01-13T13:25:58.000+0100}, author = {Imhof, Lorens A. and Fudenberg, Drew and Nowak, Martin A.}, biburl = {https://www.bibsonomy.org/bibtex/28db6c84566b32f9721de1e04d52644b6/rincedd}, doi = {10.1073/pnas.0502589102}, eprint = {http://www.pnas.org/content/102/31/10797.full.pdf+html}, file = {Imhof2005 - Evolutionary cycles of cooperation and defection.pdf:Evolutionary Game Theory/Imhof2005 - Evolutionary cycles of cooperation and defection.pdf:PDF}, interhash = {a522045b81808516ed280908a60b0784}, intrahash = {8db6c84566b32f9721de1e04d52644b6}, journal = {Proc. Natl. Acad. Sci. U. S. A.}, keywords = {game-theory cyclic-games}, number = 31, pages = 10797, timestamp = {2011-01-13T13:25:58.000+0100}, title = {Evolutionary cycles of cooperation and defection}, volume = 102, year = 2005 }