TY - GEN
T1 - How Collective Intelligence Emerges in a Crowd of People Through Learned Division of Labor
T2 - 2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024
AU - Wang, Dekun
AU - Zhang, Hongwei
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper investigates the factors fostering collective intelligence (CI) through a case study of *LinVi's Experiment, where over 2000 human players collectively controll an avatar car. By conducting theoretical analysis and replicating observed behaviors through numerical simulations, we demonstrate how self-organized division of labor (DOL) 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 (MJLS). 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 action information of the whole crowd.
AB - This paper investigates the factors fostering collective intelligence (CI) through a case study of *LinVi's Experiment, where over 2000 human players collectively controll an avatar car. By conducting theoretical analysis and replicating observed behaviors through numerical simulations, we demonstrate how self-organized division of labor (DOL) 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 (MJLS). 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 action information of the whole crowd.
UR - https://www.scopus.com/pages/publications/85217832045
U2 - 10.1109/SMC54092.2024.10831045
DO - 10.1109/SMC54092.2024.10831045
M3 - 会议稿件
AN - SCOPUS:85217832045
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 167
EP - 172
BT - 2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 October 2024 through 10 October 2024
ER -