Biology – Quantitative Biology – Populations and Evolution
Scientific paper
2011-05-03
Biology
Quantitative Biology
Populations and Evolution
28 pages, 11 figures
Scientific paper
The structure of a network in which agents interact affects whether cooperation will evolve in a population. In many biological and social settings, however, network structures are not fixed but evolve endogenously as agents exit from current relationships and build new ones. Several mathematical and computational models study endogenous evolution of network structure generally reporting that partner selection promotes cooperation. Nevertheless other studies demonstrate that the ability to exit hinders the evolution of cooperation by allowing an advantage for the roving defectors. No study, however, has yet conducted experiments using human subjects to examine the co-evolutionary process of network structure and social dilemma game strategies via partner selection. Our incentivized laboratory experiments using 34-39 human subjects per session show a clear pattern of core-periphery segregation between cooperators and defectors in addition to continued growth of cooperative relationships over time. Subjects tend to use stable strategies between games over time, rendering it reasonable to classify them as cooperators and defectors. Positive assortation of similar strategic types emerges as cooperators cut links with defectors and link to other cooperators. Cooperators accumulate more links than defectors and cluster at the structural core of the evolving network while defectors scatter around the periphery. With more relationships and larger returns per relationship, cooperators earn much larger payoffs than defectors.
Ahn T. K.
Choi Jung-Kyoo
Sohn Yunkyu
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