第十二讲: Modeling the evolutionary origins and dynamics of social complexity
报告题目(Title):Modeling the evolutionary origins and dynamics of social complexity
报告人(Speaker):Sergey Gavrilets 院士,University of Tennessee
地点(Place):京师学堂
时间(Time):2019年3月29日16:00-17:00
报告摘要
It is now well recognized that understanding modern human behavior, psychology, culture, and certain economic and political processes is hardly possible without also considering factors and processes that were shaping our recent evolution. Deciphering the problems of human origins and subsequent social and cultural evolution requires a concerted effort of researchers from a diverse set of disciplines including biology, anthropology, psychology, economics, history as well as mathematics and computational science. If we, as scientists, are successful in this endeavor, the societal impact will be enormous. I will illustrate some of my recent modeling work in this area. I will consider the collective action problem in heterogeneous groups, effects of identify fusion on self-sacrifice, the evolution of social norm internalization, and the joint dynamics of inequality and cooperation in social groups and societies.
主讲人简介
Sergey Gavrilets教授,美国艺术与科学学院院士,现担任田纳西大学数学系和生态和演化生物学系教授,社会复杂性动力学中心主任,国家数学和生物合成研究所科学活动中心副主任,以及牛津大学人类学学院研究员。Sergey Gavrilets教授的研究融合了数学、计算科学、生物学和社会科学,主要通过数学方法来研究复杂的演化过程,如人类起源和社会复杂性演化,并在Nature,Science等期刊发表多篇论文。