The networked cooperative dynamics of adjusting signal strength based on information quantity

We present a computational model which mainly concentrates on the effect of adjusting the signal strength of game from an agent to its a neighbor by considering the information quantity in individual’s database to study the evolutionary prisoner’s dilemma game on directed-weighted square lattices. In this model, each agent considers the current and historical payoff both obtained from the same neighbor, and regulates the strength of sending signal according to these information. More specifically, for paired agents x and y in network, x will increase the signal strength from it to y in case of it obtains current income higher than the historical payoff; conversely, x will reduce the signal strength because its current income less than the historical one. The simulation results show that this evolutionary rule not only can help cooperators get out of danger of extinction, but also can hugely boost the cooperation in population. Interestingly, for a fixed cost–benefit ratio r ($$0

Keywords:

• Signal strength
• Control engineering
• Mathematics
• information quantity
• Control theory
• Evolutionary dynamics
• Stochastic game
• Positive feedback
• Mathematical optimization
• Population

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