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Bio-Inspired Models of Network, Information, and Computing Systems. 5th International ICST Conference, BIONETICS 2010, Boston, USA, December 1-3, 2010, Revised Selected Papers

Research Article

Collective Evolutionary Dynamics and Spatial Reciprocity under the N-Person Snowdrift Game

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  • @INPROCEEDINGS{10.1007/978-3-642-32615-8_20,
        author={Marta Santos and Francisco Santos and Jorge Pacheco},
        title={Collective Evolutionary Dynamics and Spatial Reciprocity under the N-Person Snowdrift Game},
        proceedings={Bio-Inspired Models of Network, Information, and Computing Systems. 5th International ICST Conference, BIONETICS 2010, Boston, USA, December 1-3, 2010, Revised Selected Papers},
        proceedings_a={BIONETICS},
        year={2012},
        month={10},
        keywords={Cooperation Evolution Evolutionary Game Theory Diversity},
        doi={10.1007/978-3-642-32615-8_20}
    }
    
  • Marta Santos
    Francisco Santos
    Jorge Pacheco
    Year: 2012
    Collective Evolutionary Dynamics and Spatial Reciprocity under the N-Person Snowdrift Game
    BIONETICS
    Springer
    DOI: 10.1007/978-3-642-32615-8_20
Marta Santos1,*, Francisco Santos2,*, Jorge Pacheco,*
  • 1: CMAF
  • 2: TU Lisbon
*Contact email: marta.santos@cii.fc.ul.pt, fcsantos@fct.unl.pt, pacheco@cii.fc.ul.pt

Abstract

The evolution of cooperation has been gathering increasing attention during the last decades. Most of the times, cooperative behavior involves more than two individuals, and the N-person Prisoner’s Dilemma, which is the most studied generalized social dilemma in this context, not always manages to capture those situations that often occur to humans. In such cases, the N-person Snowdrift Game (NSG) often provides an adequate alternative. Here we show, making use of the NSG, how spatial populations affect the average levels of cooperation, when compared with the results obtained under conventional evolutionary game theory, that is, for well-mixed populations.

Keywords
Cooperation Evolution Evolutionary Game Theory Diversity
Published
2012-10-18
http://dx.doi.org/10.1007/978-3-642-32615-8_20
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