Winner-weaken-loser-strengthen rule leads to optimally cooperative interdependent networks

@article{Shi2019WinnerweakenloserstrengthenRL,
  title={Winner-weaken-loser-strengthen rule leads to optimally cooperative interdependent networks},
  author={Lei Shi and Chen Shen and Yini Geng and Chen Chu and Haoran Meng and Matja{\vz} Perc and Stefano Boccaletti and Zhen Wang},
  journal={Nonlinear Dynamics},
  year={2019},
  volume={96},
  pages={49-56}
}
We introduce a winner-weaken-loser-strengthen rule and study its effects on how cooperation evolves on interdependent networks. The new rule lowers the learning ability of a player if its payoff is larger than the average payoff of its neighbors, thus enhancing its chance to hold onto its current strategy. Conversely, when a player gaining less than the average payoff of its neighborhood, its learning ability is increased, thus weakening the player by increasing the chance of strategy change… 
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References

SHOWING 1-10 OF 44 REFERENCES
Self-organization towards optimally interdependent networks by means of coevolution
TLDR
It is shown that the interdependence between networks self-organizes so as to yield optimal conditions for the evolution of cooperation, and that cooperators can prevail where on isolated networks they would perish.
Promotion of cooperation induced by appropriate payoff aspirations in a small-world networked game.
TLDR
This work investigates the fractions of links, provides analytical results of the cooperation level, and finds that the simulation results are in close agreement with analytical ones, which may be helpful in understanding the cooperative behavior induced by the aspiration level in society.
Learning dynamics in social dilemmas
  • M. Macy, A. Flache
  • Economics
    Proceedings of the National Academy of Sciences of the United States of America
  • 2002
The Nash equilibrium, the main solution concept in analytical game theory, cannot make precise predictions about the outcome of repeated mixed-motive games. Nor can it tell us much about the dynamics
If players are sparse social dilemmas are too: Importance of percolation for evolution of cooperation
TLDR
It is found that sparsity may favor the resolution of social dilemmas, especially if the population density is close to the percolation threshold of the underlying graph.
Interdependent network reciprocity in evolutionary games
TLDR
It is shown that an unbiased coupling allows the spontaneous emergence of interdependent network reciprocity, which is capable to maintain healthy levels of public cooperation even in extremely adverse conditions.
Social diversity promotes the emergence of cooperation in public goods games
TLDR
This work introduces social diversity by means of heterogeneous graphs and shows that cooperation is promoted by the diversity associated with the number and size of the public goods game in which each individual participates and with the individual contribution to each such game.
Evolutionary dynamics of cooperation in neutral populations
TLDR
The prisoner's dilemma game is used as the mathematical model and it is shown that considering several populations simultaneously give rise to fascinating spatiotemporal dynamics and pattern formation and allow us to understand the stability of cooperation under adverse conditions that could never be bridged by network reciprocity alone.
Cooperation in scale-free networks with limited associative capacities.
TLDR
This work shows that when the game includes cooperation costs, limiting the associative capacity of nodes to a fixed quantity renders in some cases larger values of cooperation than in the unrestricted scenario.
Scale-free networks provide a unifying framework for the emergence of cooperation.
TLDR
It is found that, whenever individuals interact following networks of contacts generated via growth and preferential attachment, cooperation becomes the dominating trait throughout the entire range of parameters of both games, as such providing a unifying framework for the emergence of cooperation.
...
...