Dynamics, morphogenesis and convergence of evolutionary quantum Prisoner's Dilemma games on networks.
The authors proposed a quantum Prisoner's Dilemma (PD) game as a natural extension of the classic PD game to resolve the dilemma. Here, we establish a new Nash equilibrium principle of the game, propose the notion of convergence and discover the convergence and phase-transition phenomena of the evolutionary games on networks. We investigate the many-body extension of the game or evolutionary games in networks. For homogeneous networks, we show that entanglement guarantees a quick convergence of super cooperation, that there is a phase transition from the convergence of defection to the convergence of super cooperation, and that the threshold for the phase transitions is principally determined by the Nash equilibrium principle of the game, with an accompanying perturbation by the variations of structures of networks. For heterogeneous networks, we show that the equilibrium frequencies of super-cooperators are divergent, that entanglement guarantees emergence of super-cooperation and that there is a phase transition of the emergence with the threshold determined by the Nash equilibrium principle, accompanied by a perturbation by the variations of structures of networks. Our results explore systematically, for the first time, the dynamics, morphogenesis and convergence of evolutionary games in interacting and competing systems.
State Key Laboratory of Computer Science , Institute of Software, Chinese Academy of Sciences , Beijing 100190, People's Republic of China.
Angsheng
0000-0001-5799-0891
A
Li
State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, People's Republic of China; School of Computer Science, University of Chinese Academy of Sciences, Beijing 100190, People's Republic of China.
Xi
X
Yong
entanglement; game; networks