On Phase Transitions to Cooperation in the Prisoner's Dilemma

Game theory formalizes certain interactions between physical particles or between living beings in biology, sociology, and economics and quantifies the outcomes by payoffs. The prisoner's dilemma (PD) describes situations in which it is profitable if everybody cooperates rather than defects (free rides or cheats), but as cooperation is risky and defection is tempting, the expected outcome is defection. Nevertheless, some biological and social mechanisms can support cooperation by effectively transforming the payoffs. Here, we study the related phase transitions, which can be of first order (discontinuous) or of second order (continuous), implying a variety of different routes to cooperation. After classifying the transitions into cases of equilibrium displacement, equilibrium selection, and equilibrium creation, we show that a transition to cooperation may take place even if the stationary states and the eigenvalues of the replicator equation for the PD stay unchanged. Our example is based on adaptive group pressure, which makes the payoffs dependent on the endogenous dynamics in the population. The resulting bistability can invert the expected outcome in favor of cooperation.

[1]  C. Hauert,et al.  Coevolutionary dynamics: from finite to infinite populations. , 2004, Physical review letters.

[2]  J. Eisert,et al.  Quantum Games and Quantum Strategies , 1998, quant-ph/9806088.

[3]  Dirk Helbing,et al.  Optimal self-organization , 1999 .

[4]  N. Johnson,et al.  Self-Organized Segregation within an Evolving Population , 1998, cond-mat/9810142.

[5]  H. Ohtsuki,et al.  Breaking the symmetry between interaction and replacement in evolutionary dynamics on graphs. , 2007, Physical review letters.

[6]  D. Helbing,et al.  The outbreak of cooperation among success-driven individuals under noisy conditions , 2009, Proceedings of the National Academy of Sciences.

[7]  Zecchina,et al.  Statistical mechanics of systems with heterogeneous agents: minority games , 1999, Physical review letters.

[8]  H. Ohtsuki,et al.  The replicator equation on graphs. , 2006, Journal of theoretical biology.

[9]  R. A. Fisher,et al.  The Genetical Theory of Natural Selection , 1931 .

[10]  Opper,et al.  Phase transition and 1/f noise in a game dynamical model. , 1992, Physical review letters.

[11]  J. Cuesta,et al.  Time scales in evolutionary dynamics. , 2006, Physical review letters.

[12]  A. Engel,et al.  Matrix Games, Mixed Strategies, and Statistical Mechanics , 1998, cond-mat/9809265.

[13]  M. Nowak Five Rules for the Evolution of Cooperation , 2006, Science.

[14]  Michael Doebeli,et al.  Spatial structure often inhibits the evolution of cooperation in the snowdrift game , 2004, Nature.

[15]  Dirk Helbing,et al.  Drift- or fluctuation-induced ordering and self-organization in driven many-particle systems , 2002 .

[16]  J. Neumann,et al.  Theory of games and economic behavior , 1945, 100 Years of Math Milestones.

[17]  F. C. Santos,et al.  Reacting differently to adverse ties promotes cooperation in social networks. , 2009, Physical review letters.

[18]  W. Hamilton,et al.  The Evolution of Cooperation , 1984 .

[19]  György Szabó,et al.  Phase transitions and volunteering in spatial public goods games. , 2002, Physical review letters.

[20]  C. Hauert,et al.  Spatial dynamics of ecological public goods , 2009, Proceedings of the National Academy of Sciences.

[21]  F. C. Santos,et al.  Scale-free networks provide a unifying framework for the emergence of cooperation. , 2005, Physical review letters.

[22]  Josef Hofbauer,et al.  Evolutionary Games and Population Dynamics , 1998 .

[23]  Arne Traulsen,et al.  Cyclic dominance and biodiversity in well-mixed populations. , 2008, Physical review letters.

[24]  J. Fontanari,et al.  Complementarity and diversity in a soluble model ecosystem. , 2002, Physical review letters.

[25]  J Gómez-Gardeñes,et al.  Dynamical organization of cooperation in complex topologies. , 2007, Physical review letters.

[26]  G. Szabó,et al.  Evolutionary games on graphs , 2006, cond-mat/0607344.

[27]  Arne Traulsen,et al.  Coevolution of strategy and structure in complex networks with dynamical linking. , 2006, Physical review letters.

[28]  B. Rockenbach,et al.  The Competitive Advantage of Sanctioning Institutions , 2006, Science.

[29]  Arne Traulsen,et al.  Exploration dynamics in evolutionary games , 2009, Proceedings of the National Academy of Sciences.