The self-organizing impact of averaged payoffs on the evolution of cooperation

by   A. Szolnoki, et al.

According to the fundamental principle of evolutionary game theory, the more successful strategy in a population should spread. Hence, during a strategy imitation process a player compares its payoff value to the payoff value held by a competing strategy. But this information is not always accurate. To avoid ambiguity a learner may therefore decide to collect a more reliable statistics by averaging the payoff values of its opponents in the neighborhood, and makes a decision afterwards. This simple alteration of the standard microscopic protocol significantly improves the cooperation level in a population. Furthermore, the positive impact can be strengthened by increasing the role of the environment and the size of the evaluation circle. The mechanism that explains this improvement is based on a self-organizing process which reveals the detrimental consequence of defector aggregation that remains partly hidden during face-to-face comparisons. Notably, the reported phenomenon is not limited to lattice populations but remains valid also for systems described by irregular interaction networks.



There are no comments yet.


page 8

page 12


Gradual learning supports cooperation in spatial prisoner's dilemma game

According to the standard imitation protocol, a less successful player a...

Learning enables adaptation in cooperation for multi-player stochastic games

Interactions among individuals in natural populations often occur in a d...

Reciprocity-based cooperative phalanx maintained by overconfident players

According to the evolutionary game theory principle, a strategy represen...

Small Fraction of Selective Cooperators Can Elevate General Wellbeing Significantly

A cooperative player invests effort into a common venture without knowin...

Blocking defector invasion by focusing on the most successful partner

According to the standard protocol of spatial public goods game, a coope...

Counterfactual thinking in cooperation dynamics

Counterfactual Thinking is a human cognitive ability studied in a wide v...

Effects of Dynamic-Win-Stay-Lose-Learn model with voluntary participation in social dilemma

In recent years, Win-Stay-Lose-Learn rule has attracted wide attention a...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.