| 来源类型 | Article
|
| 规范类型 | 其他
|
| DOI | 10.1016/j.biosystems.2008.11.009
|
| Evolution of cooperation on dynamical graphs. |
| Kun A; Scheuring I
|
| 发表日期 | 2009
|
| 出处 | Biosystems 96 (1): 65-68
|
| 出版年 | 2009
|
| 语种 | 英语
|
| 摘要 | There are two key characteristic of animal and human societies: (1) degree heterogeneity, meaning that not all individual have the same number of associates; and (2) the interaction topology is not static, i.e. either individuals interact with different set of individuals at different times of their life, or at least they have different associations than their parents. Earlier works have shown that population structure is one of the mechanisms promoting cooperation. However, most studies had assumed that the interaction network can be described by a regular graph (homogeneous degree distribution). Recently there are an increasing number of studies employing degree heterogeneous graphs to model interaction topology. But mostly the interaction topology was assumed to be static. Here we investigate the fixation probability of the cooperator strategy in the prisoner's dilemma, when interaction network is a random regular graph, a random graph or a scale-free graph that the fixation probability of the cooperator strategy is lower when the interaction topology is described by a dynamical graph compared to a static graph. Even a limited network dynamics significantly decreases the fixation probability of cooperation, an effect that is mitigated stronger by degree heterogeneous networks topology than by a degree homogeneous one. We have also found that from the considered graph topologies the decrease of fixation probabilities due to graph dynamics is the lowest on scale-free graphs. |
| 主题 | Evolution and Ecology (EEP)
; Postdoctoral Scholars (PDS)
|
| 关键词 | Fixation probability
Game theory
Prisoner's dilemma
Scale-free network
|
| URL | http://pure.iiasa.ac.at/id/eprint/8896/
|
| 来源智库 | International Institute for Applied Systems Analysis (Austria)
|
| 引用统计 |
|
| 资源类型 | 智库出版物
|
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/129021
|
推荐引用方式
GB/T 7714 |
Kun A,Scheuring I. Evolution of cooperation on dynamical graphs.. 2009.
|
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
