Effects of time cost on the evolution of cooperation in snowdrift game
Effects of time cost on the evolution of cooperation in snowdrift game
复制标题
时间成本对雪堆博弈合作演化的影响
DOI：
10.1016/j.chaos.2019.05.030
复制
发表时间：
2019-08
影响因子：
7.8
通讯作者：
Li Ya
中科院分区：
文献类型：
--
作者：
Pu Jia;Jia Tao;Li Ya
合作与叛逃并存是自然界的普遍现象。近年来，为什么自私的个体之间会发生合作的话题引起了人们的极大关注。一般来说，在雪堆游戏中，当叛逃者利用合作者时，叛逃者将获得最大利益，而不需要支付任何成本。然而，时间的流逝也是一种失落。即使叛逃者选择呆在车里等待合作者铲雪，叛逃者也要承担时间的损失。在这种情况下，铲雪的总成本中也应该考虑时间成本。我们专注于时间成本如何影响雪堆游戏中合作的演变。更重要的是，这些实验是在更接近真实世界网络的双曲网络上进行的。仿真结果表明，时间成本所占比例越大，越能促进合作。
Coexistence of cooperation and defection is a common phenomenon in nature. The topic of why cooperation occurs among selfish individuals has attracted much attention in recent years. Generally, in the snowdrift game, when a defector exploits a cooperator, the defector would get the maximum benefit without paying any cost. However, the elapse of time is also a kind of loss. Even if the defector chooses to stay in the car waiting for cooperator to shovel snow, the defector also has to bear a loss of time. Under such circumstances, the time cost also should be considered in the total cost of shovelling snow. We focus on how time cost impacts the evolution of cooperation in the snowdrift game. More importantly, the experiments were implemented on hyperbolic networks which are closer to real world networks. Simulated results show that the larger proportion of time cost is, the more cooperation could be promoted.
登录
查看更多内容
影响因子：
2.4
作者：
Yang Han-Xin;Wu Zhi-Xi;Rong Zhihai;Lai Ying-Cheng
通讯作者：
Lai Ying-Cheng
方格上基于记忆的雪堆游戏
DOI：
10.1016/j.physa.2017.12.109
发表时间：
2018-04
期刊：
Physica A: Statistical Mechanics and Its Applications
影响因子：
--
作者：
Shu Feng;Liu Xingwen;Fang Kai;Chen Hao
通讯作者：
Chen Hao
影响因子：
2
作者：
Hayato Shimura;M. Nakamaru
通讯作者：
Hayato Shimura;M. Nakamaru
影响因子：
2
作者：
Wang, Zhen;Szolnoki, Attila;Perc, Matjaz
通讯作者：
Perc, Matjaz
迭代囚徒困境博弈中基于个体行为改变交互强度
影响因子：
14.3
作者：
Li, Jiaqi;Zhang, Chunyan;Zhang, Jianlei
通讯作者：
Zhang, Jianlei