Suppr超能文献

合作在动态网络演化中的崩溃与救援。

Collapse and rescue of cooperation in evolving dynamic networks.

机构信息

Department of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA.

出版信息

Nat Commun. 2018 Jul 12;9(1):2692. doi: 10.1038/s41467-018-05130-7.

Abstract

The evolutionary dynamics of social traits depend crucially on the social structure of a population. The effects of social structure on social behaviors are well-studied, but relatively little is known about how social structure itself coevolves with social traits. Here, I study such coevolution with a simple yet realistic model of within-group social structure where social connections are either inherited from a parent or made randomly. I show that cooperation evolves when individuals make few random connections, but the presence of cooperation selects for increased rates of random connections, which leads to its collapse. Inherent costs of social connections can prevent this negative feedback, but these costs can negate some or all of the aggregate benefits of cooperation. Exogenously maintained social inheritance can mitigate the latter problem and allow cooperation to increase the average fitness of a population. These results illustrate how coevolutionary dynamics can constrain the long-term persistence of cooperation.

摘要

社会特征的进化动态在很大程度上取决于群体的社会结构。社会结构对社会行为的影响已经得到了充分研究,但对于社会结构本身如何与社会特征共同进化,人们的了解相对较少。在这里,我使用一个简单而现实的群体内部社会结构模型来研究这种共同进化,其中社会联系要么来自父母的遗传,要么是随机建立的。我表明,当个体建立少量随机联系时,合作会进化,但合作的存在会选择增加随机联系的速度,这导致合作崩溃。社会联系的内在成本可以防止这种负反馈,但这些成本可能会抵消合作的全部或部分总收益。外生维持的社会遗传可以减轻后者的问题,并允许合作提高种群的平均适应度。这些结果说明了共同进化动态如何限制合作的长期持久性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c66/6043585/b5d4d511b8d8/41467_2018_5130_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验