DocumentCode :
2306948
Title :
Indirect reciprocity through gossiping can lead to cooperative clusters
Author :
Traag, V.A. ; Van Dooren, P. ; Nesterov, Y.
Author_Institution :
ICTEAM, UC Louvain, Louvain-la-Neuve, Belgium
fYear :
2011
fDate :
11-15 April 2011
Firstpage :
154
Lastpage :
161
Abstract :
Explaining how cooperation can emerge, and persist over time in various species is a prime challenge for both biologists and social scientists. Whereas cooperation in non-human species might be explained through mechanisms such as kinship selection or reciprocity, this is usually regarded as insufficient to explain the extent of cooperation observed in humans. It has been theorized that indirect reciprocity-I help you, and someone else later helps me-could explain the breadth of human cooperation. Reputation is central to this idea, since it conveys important information to third parties whether to cooperate or not with a focal player. In this paper we analyze a model for reputation dynamics through gossiping, and pay specific attention to the possible cooperation networks that may arise. We show that gossiping agents can organize into cooperative clusters, i.e. cooperate within clusters, and defect between them, which can be regarded as socially balanced. We also deduce conditions for these gossiping cooperators to be evolutionary stable.
Keywords :
biology; biologists; cooperation networks; cooperative clusters; focal player; gossiping agents; human cooperation; indirect reciprocity; kinship selection; nonhuman species; reputation dynamics; social scientists; Analytical models; Electronic mail; Equations; Evolution (biology); Games; Humans; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Life (ALIFE), 2011 IEEE Symposium on
Conference_Location :
Paris
ISSN :
2160-6374
Print_ISBN :
978-1-61284-062-8
Type :
conf
DOI :
10.1109/ALIFE.2011.5954642
Filename :
5954642
Link To Document :
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