Coevolving agent strategies and network topology for the public goods games |
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Authors: | C Y Zhang J L Zhang G M Xie L Wang |
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Institution: | 1.State Key Laboratory for Turbulence and Complex Systems,
Center for Systems and Control, College of Engineering, Peking
University,Beijing,P.R. China |
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Abstract: | Much of human cooperation remains an evolutionary riddle.
Coevolutionary public goods games in structured populations are
studied where players can change from an unproductive public goods
game to a productive one, by evaluating the productivity of the
public goods games. In our model, each individual participates in
games organized by its neighborhood plus by itself. Coevolution here
refers to an evolutionary process entailing both deletion of
existing links and addition of new links between agents that
accompanies the evolution of their strategies. Furthermore, we
investigate the effects of time scale separation of strategy and
structure on cooperation level. This study presents the following:
Foremost, we observe that high cooperation levels in public goods
interactions are attained by the entangled coevolution of strategy
and structure. Presented results also confirm that the resulting
networks show many features of real systems, such as cooperative
behavior and hierarchical clustering. The heterogeneity of the
interaction network is held responsible for the observed promotion
of cooperation. We hope our work may offer an explanation for the
origin of large-scale cooperative behavior among unrelated individuals. |
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Keywords: | |
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