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

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.

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Zschaler_2012.pdf (Publisher version), 106KB
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 Creators:
Zschaler, Gerd, Author
Traulsen, Arne1, Author           
Gross, Thilo, Author
Affiliations:
1Research Group Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445641              

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 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.

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Language(s): eng - English
 Dates: 2012
 Publication Status: Issued
 Pages: XVIII, 695 S.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: 2966/S 39311
 Degree: -

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Title: 5th International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems, BIONETICS 2010
Place of Event: Boston, MA
Start-/End Date: 2010-12-01 - 2010-12-03

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Title: Bio-inspired models of network, information, and computing systems : 5th international ICST conference ; revised selected papers
Source Genre: Book
 Creator(s):
Suzuki, Junichi, Editor
Nakano, Tadashi, Editor
Affiliations:
-
Publ. Info: Berlin, Heidelberg, New York : Springer
Pages: XVIII, 695 S. Volume / Issue: - Sequence Number: - Start / End Page: 521 - 522 Identifier: ISBN: 978-3-642-32614-1
ISBN: 3-642-32614-5

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Title: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Source Genre: Series
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Publ. Info: Berlin, Heidelberg, New York : Springer
Pages: - Volume / Issue: 87 Sequence Number: - Start / End Page: - Identifier: ISSN: 1867-8211