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演化随机网络上的进化囚徒困境

Evolutionary prisoner's dilemma on evolving random networks.

作者信息

Xu Zhaojin, Le Yun, Zhang Lianzhong

机构信息

School of Science, Tianjin University of Technology, Tianjin 300384, China.

School of Physics, Nankai University, Tianjin, China 300071.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Apr;89(4):042142. doi: 10.1103/PhysRevE.89.042142. Epub 2014 Apr 28.

Abstract

In this paper, we investigate the evolution of cooperation in the spatial prisoner's dilemma game by incorporating partner choice into the framework of evolutionary game theory. Our research shows that the introduction of partner choice can notably promote the cooperative behavior in the prisoner's dilemma game. All the players are more likely to play the game with cooperators, which makes it easier for cooperators to form alliances. In particular, the system will be dominated completely by cooperators in a comfortable environment (i.e., with lower survival cost) because the cooperators can get more benefits than the defectors in this case due to their good reputation. In addition, we have found that the sustenance of cooperators improves notably as well in the snowdrift game and the stag-hunt game due to this introduction.

摘要

在本文中,我们通过将伙伴选择纳入进化博弈论框架来研究空间囚徒困境博弈中合作的演变。我们的研究表明,引入伙伴选择可以显著促进囚徒困境博弈中的合作行为。所有参与者都更有可能与合作者进行博弈,这使得合作者更容易结成联盟。特别是,在舒适的环境中(即生存成本较低),系统将完全由合作者主导,因为在这种情况下,合作者由于其良好的声誉,比背叛者能获得更多利益。此外,我们发现,由于这种引入,在雪堆博弈和猎鹿博弈中,合作者的存续也显著改善。

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