Lecturer: Shi Lei

Abstract:

Human beings often show the characteristics of cooperation in the fields of group hunting, economic and social organization and global warming. However, evolutionary game theory predicts that human beings will inevitably fall into the tragedy of the public, which is a common dilemma in social and economic experiments. Most existing game models or experiments assume that participants or agents cannot withdraw from the game, which implies the assumption that the withdrawal cost is infinite. In order to explore the influence of exit choice and reveal the mechanism behind exit strategy, we designed and conducted a series of repeated public goods game (PGG) experiments with and without exit choice, in which participants with exit choice can randomly obtain expected external benefits (EOE). We find that under a suitable or competitive EOE, free exit can increase the cooperation rate, improve the investment environment in the game, and get rid of the social predicament. In addition, under the appropriate EOE condition, the quitter, betrayer and collaborator can form a three-state coexistence phenomenon similar to rock-scissors-cloth; and under appropriate conditions, exit channels can filter out the bad factors in the system and play a regulatory role in improving the investment environment of PGG dynamically. Based on the experimental data, we use the Prisoner's Dilemma game model to establish a game model with exit strategy, and study the evolutionary dynamics characteristics of mixed population and network population. On the one hand, the dynamic properties of mixed population strongly support our data results. On the other hand, under the network population, we get more abundant dynamic phenomena; and the complex dynamics that arise under a simple exit choice means that nuance matters even if our analysis is limited to incentives for rational behavior.

Introduction to the Lecturer:

Shi Lei, male, doctor, professor, doctoral supervisor; and distinguished professor, a Changjiang scholar from the Ministry of Education, a candidate for the National Million Talents Project, a winner of special allowance from the State Council, and a young and middle-aged expert with outstanding contributions of the country. He is currently the chief professor of statistics at Yunnan University of Finance and Economics and the director of Yunnan Tongchuang Scientific Computing and Data Mining Research Center. Member of Statistics Teaching Steering Committee of Ministry of Education, member of National MAS Education Steering Committee, and expert of Discipline Planning Review Group of National Social Science Fund. He has published more than 150 papers in domestic and foreign academic journals PNAS (Proceedings of the National Academy of Sciences), Nature Communication, Science Advances, Biometrika American Statistician, IEEE series journals,Science Chinaand other journals; Among them, more than 100 papers were included in SCI and 6 papers were highly cited in ESI. He has won more than 20 awards, including the first prize of Outstanding Young Teachers in Huo Yingdong University, the first and second prizes of natural science in Yunnan Province, the first prize of scientific and technological progress, the Yunnan Education Meritorious Award, and the Outstanding Scholar Award of Chinese Quantitative Economics.

Invitee:

Lin Lu

Time:

10:00-11:00 on December 22 (Wednesday)

Venue:

Tencent Meeting D: 644-402-432

Hosted by: School of Mathematics, Shandong University