Evolving synergetic interactions

doi:10.1098/rsif.2016.0282

CORC > 北京大学 > 工学院

	Evolving synergetic interactions
	Wu, Bin ; Arranz, Jordi ; Du, Jinming ; Zhou, Da ; Traulsen, Arne
刊名	JOURNAL OF THE ROYAL SOCIETY INTERFACE
	2016
关键词	synergetic interactions multiplayer games cooperation MULTIPLAYER MATRIX GAMES EVOLUTIONARY DYNAMICS STRUCTURED POPULATIONS LOCAL INTERACTIONS COLLECTIVE ACTION COOPERATION MULTICELLULARITY EMERGENCE DILEMMAS NETWORKS
DOI	10.1098/rsif.2016.0282
英文摘要	Cooperators forgo their own interests to benefit others. This reduces their fitness and thus cooperators are not likely to spread based on natural selection. Nonetheless, cooperation is widespread on every level of biological organization ranging from bacterial communities to human society. Mathematical models can help to explain under which circumstances cooperation evolves. Evolutionary game theory is a powerful mathematical tool to depict the interactions between cooperators and defectors. Classical models typically involve either pairwise interactions between individuals or a linear superposition of these interactions. For interactions within groups, however, synergetic effects may arise: their outcome is not just the sum of its parts. This is because the payoffs via a single group interaction can be different from the sum of any collection of two-player interactions. Assuming that all interactions start from pairs, how can such synergetic multiplayer games emerge from simpler pair wise interactions? Here, we present a mathematical model that captures the transition from pairwise interactions to synergetic multiplayer ones. We assume that different social groups have different breaking rates. We show that non-uniform breaking rates do foster the emergence of synergy, even though individuals always interact in pairs. Our work sheds new light on the mechanisms underlying such synergetic interactions.; Max-Planck Society; National Natural Sciences Foundation of China [61533001, 61375120, 11401499]; Natural Science Foundation of Fujian Province of China [2015J05016]; SCI(E); EI; PubMed; ARTICLE; bin.wu@evolbio.mpg.de; 120; 13
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/491936]
专题	工学院
推荐引用方式 GB/T 7714	Wu, Bin,Arranz, Jordi,Du, Jinming,et al. Evolving synergetic interactions[J]. JOURNAL OF THE ROYAL SOCIETY INTERFACE,2016.
APA	Wu, Bin,Arranz, Jordi,Du, Jinming,Zhou, Da,&Traulsen, Arne.(2016).Evolving synergetic interactions.JOURNAL OF THE ROYAL SOCIETY INTERFACE.
MLA	Wu, Bin,et al."Evolving synergetic interactions".JOURNAL OF THE ROYAL SOCIETY INTERFACE (2016).