[1] Smith J M. Evolution and the Theory of Games. New York: Cambridge University Press, 1982

[2] Kandori M, Mailath G J, Rob R. Learning, Mutation, and Long Run Equilibria in Games. Econometrics,
1993, 61: 29–56

[3] Amir M, Berninghaus S K. Another approach to mutation and learning. Games and Economic Behavior,
1996, 14: 19–43

[4] Tadj L, Touzene A. A QBD approach to evolutionary game theory. Applied Mathematical Modelling,
2003, 27: 913–927

[5] Nowak M A, Sasaki A, Taylor C, Fudenberg D. Emergence of cooperation and evolutionary stability in
finite populations. Nature, 2004, 428: 646–650

[6] Axelrod R. The Evolution of Strategies in the Iterated Prisoner’s Dilemma. Genetic Algorithms in Simu-
lated Annealing. London: Pitman, 1987. 32–41

[7] Axelrod R, Hamilton W D. The evolution of cooperation. Science, 1981, 211: 1390–1396

[8] Yao X, Darwen P. Genetic algorithms and evolutionary games. In: Barnett W, Chiarella C, Keen S, Marks
R, Schnabl H, ed. Commerce, Complexity and Evolution. Cambridge University Press, 2000. 313–333

[9] Franken N, Engelbrecht A. PSO Approaches to Co-evolve IPD Strategies. In: Proc Cong Evol Comput,
2004, 1: 356–363

[10] Cheon T. Altruistic duality in evolutionary game theory. Physics Letters A, 2003, 318: 327–332

[11] Nowak M A, Sigmund K. Evolutionary dynamics of biological games. Science, 2004, 303: 793–799