关于举办青年教师交叉学科“复杂系统与类脑计算”学术论坛(第三期)的通知
关于举办青年教师交叉学科
“复杂系统与类脑计算”学术论坛(第三期)的通知
为促进我校青年教师跨学科研究工作的交流,发挥优秀青年教师的示范表率作用,扩大教师科研工作领域,推动学校“双一流”学科建设,学校教师发展中心决定举办青年教师交叉学科“复杂系统与类脑计算”学术论坛。论坛第三期特别邀请了理学院武斌博士。武斌博士作题为“Social Evolution on Evolving Social Populations”的学术报告。武斌博士将与会师生分享从事科研工作的体会。
报告内容简介: Social behavior incurs a cost to the focal individual and benefits others. It is ubiquitous although it seems to be against natural selection. Thus it is a puzzle how and why social behavior evolves. The last decade has seen that adaptive social network sheds great light on this puzzle. The idea is simple: Individuals are not only able to adjust its own strategy but also to adjust its neighborhood. Thus social behavior can be selected. Most of the previous works make use of the Monte Carlo simulation to address how the adaptive social network alters the fate of the social behavior. Insightful intuitions are obtained by this method. The most important is that social individuals form clusters to resist the invasion of free riders. Analytical method, however, is lacking to providea theoretical insight on why it is so. Here we propose a novel method to analytically address this issue. Our analytical results not only agree with the insights from previous simulation results,but also provide an explanation to previous counter intuitive simulation results. Furthermore, we extrapolate from networks to more complex population structures. These include inter-dependent networks and sets, which mimics the group chat in Wechat. We find that our analytical method is also applicable in such complex social populations. This shows that our method is powerful. It opens up an avenue to dealing with the social evolution on adaptive social populations.
现将学术论坛的具体安排通知如下:
(1)主题:Social Evolution on Evolving Social Populations
(2)主讲人:武斌 博士(理学院)
(3)主持人:兰岳恒教授 理学院
(4)时间:2018年6月27日(星期三)中午12:00-13:30
(5)地点:教三楼326
后附主讲教师简介。
希望对该领域感兴趣的青年教师和研究生踊跃报名参加论坛。
报名截止日期为:6月26日下午17:00。
联系人:李老师
联系电话:62285129或13641171956
教师发展中心
2018年6月25日
附:主讲教师简介(Speaker Bio):
Dr. BinWu obtained his Ph.D in Dynamics & Control, Peking University in China. He was a research fellow at the Department of Evolutionary Theory, Max Planck Institute for Evolutionary Biology in Germany. He also held visiting positions in Harvard University in the US and Monash University in Australia. Dr. Wu currently is an associate professor in Beijing University of Posts and Telecommunications.His research interests include evolutionary game theory, biological modeling, complex systems, epidemic spreading dynamics,stochastic dynamics. He has coauthored over 30 papers in peer reviewed scientific journals, including PNAS, Automatica, PLoS Computational Biology,Journal of the Royal Society Interface, New Journal of Physics. His publications have received over 700 citations with 3 over 100.