时      间： 2018.4.2（周一） 上午9:00-10:00

地      点：首师大北二区教学楼二层小会议室

主办单位：信息工程学院

主讲学者简介：

王 龙：1992年于北京大学获得博士学位。1993年在加拿大多伦多大学作博士后，1995-1997年获德国洪堡基金资助在德国宇航中心进行合作研究。现为北京大学教授、博士生导师、，是“新世纪百千万人才工程”国家级人选、国家杰出青年科学基金获得者。近年来，王龙教授主要从事复杂系统智能控制、演化博弈与群体决策等方面的研究工作，获得国家自然科学奖、国家教委霍英东奖（研究类一等奖）、教育部自然科学奖（一等奖）、国家教委科技进步奖（一等奖）、第一届Ho Outstanding Paper Award、第一届关肇直控制理论奖等多项奖励。

王龙教授目前担任《控制理论与应用》、《控制与决策》、《信息与控制》、《PLoS ONE》、《IEEE Transactions on Industrial Electronics》编委、北京大学系统与控制研究中心主任、中国仿真学会常务理事、智能物联系统专业委员会主任、北京人工智能学会副理事长、国家出国留学基金评审专家等。

内容介绍：

Cooperation, a conundrum from the evolutionary perspective, has received increasing attention from various realms. Punishment has been found to be effective among all the mechanisms to promote cooperation. However, retaliation has undermined the positive role of punishment in the evolution of cooperation. This results in the query on the wide application of costly punishment in nature. Moreover, reward for punishment which has been overlooked in previous studies is ubiquitous in nature. To explore the underlying principle of such phenomena, we propose a simple model and study the co- evolution of cooperation and punishment in the presence of retaliation. The results illustrate that the centralized punishment facilitates the evolution of cooperation when retaliation is present. Reward for altruistic punishment significantly alters the fate of punishment. Reward for punishment promotes cooperation even in the presence of retaliation. Moreover, we find that cooperation and punishment can evolve under centralized punishment in large populations of retaliation.