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Understanding the effects of punishment in multiplayer spatial games, however, is a formidable challenge. In this paper, we present a multiplayer evolutionary game model in which agents play iterative games in spatial populations with punishment. Two kinds of spatial structure are used, regular and random connected network. Key model parameters include the number of players, the interaction topology,...
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...
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