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Seminar on "How Collective Intelligence Emerges in a Crowd of People Through Learned Division of Labor" by Prof. Hongwei Zhang

22 Nov 2024

Date: 22 November 2024, Friday
Time: 4:30pm
Venue: YEUNG-B5311, City University of Hong Kong
Zoom Meeting ID: 859 2865 1236
Password: 123456
Speaker: Prof. Hongwei Zhang, Harbin Institute of Technology, Shenzhen

 

How Collective Intelligence Emerges in a Crowd of People Through Learned Division of Labor

Prof. Hongwei Zhang, Harbin Institute of Technology, Shenzhen

 

Abstract: In this talk, we will investigate the factors fostering collective intelligence (CI) through a case study of LinYi’s Experiment, where over 2000 human players collectively controll an avatar car. By conducting theoretical analysis and replicating observed behaviors through numerical simulations, we show how self-organized division of labor among individuals fosters the emergence of CI and identify two essential conditions fostering CI by formulating this problem into a stability problem of a Markov Jump Linear System. These conditions, independent of external stimulus, emphasize the importance of both elite and common players in fostering CI. Additionally, we propose an index for emergence of CI and a distributed method for estimating joint actions, enabling individuals to learn their optimal social roles without global information of the whole crowd.

Speaker’s Bio: Hongwei Zhang received the Ph.D. degree in mechanical and automation engineering from the Chinese University of Hong Kong in 2010. Subsequently, he held postdoctoral positions at the University of Texas at Arlington and the City University of Hong Kong. He held a professorship at Southwest Jiaotong University from 2012 to 2020, and then joined Harbin Institute of Technology, Shenzhen, China in 2020 as a Professor. His research interests include cooperative control of multi-agent systems, distributed control of microgrids, and active noise control. He is an Associate Editor of Neurocomputing.

 

WEBINAR WEBSITE:

https://www.ee.cityu.edu.hk/~cccn/webinar/

 

 


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