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The evolution of strategies in n-choice social dilemma game with punishment is studied on spatial environment. This paper presents and investigates the application of co-evolutionary training techniques based on discrete particle swarm optimization (PSO) to evolve cooperation, and exploring different parameter configurations via numerical simulations. Key model parameters include the number of players,...
The evolution of strategies in n-choice iterated prisoner's dilemma game is studied on spatial environment. This paper presents and investigates the application of co-evolutionary training techniques based on particle swarm optimization (PSO) to evolve cooperation, and exploring different parameter configurations via numerical simulations. Key model parameters include the size of the population, the...
A particle swarm optimization (PSO) approach towards the development of strategy co-evolution for multiple choices IPD game is presented. It is demonstrated that, birds can play IPD with multiple choices, and the co-evolutionary behaviors are influenced by social environment.
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