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A dynamical mechanism for the evolution and breakdown of cooperation in the snowdrift game in adaptive networks

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons56973

Traulsen,  Arne
Research Group Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society;

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Citation

Zschaler, G., Traulsen, A., & Gross, T. (2012). A dynamical mechanism for the evolution and breakdown of cooperation in the snowdrift game in adaptive networks. In J. Suzuki, & T. Nakano (Eds.), Bio-inspired models of network, information, and computing systems: 5th international ICST conference; revised selected papers (pp. 521-522). Berlin, Heidelberg, New York: Springer.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0010-5026-1
Abstract
We present a novel dynamical mechanism promoting cooperation in the snowdrift game on an adaptive network. In infinite systems, asymptotic full cooperation can be achieved, while sudden breakdowns of highly cooperative states are observed in finite systems.