Computer simulation of leadership, consensus decision making and collective behaviour in humans

Song Wu, Quanbin Sun

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

The aim of this study is to evaluate the reliability of a crowd simulation model developed by the authors by reproducing Dyer et al.'s experiments (published in Philosophical Transactions in 2009) on human leadership and consensus decision making in a computer-based environment. The theoretical crowd model of the simulation environment is presented, and its results are compared and analysed against Dyer et al.'s original experiments. It is concluded that the simulation results are largely consistent with the experiments, which demonstrates the reliability of the crowd model. Furthermore, the simulation data also reveals several additional new findings, namely: 1) the phenomena of sacrificing accuracy to reach a quicker consensus decision found in ants colonies was also discovered in the simulation; 2) the ability of reaching consensus in groups has a direct impact on the time and accuracy of arriving at the target position; 3) the positions of the informed individuals or leaders in the crowd could have significant impact on the overall crowd movement; and 4) the simulation also confirmed Dyer et al.'s anecdotal evidence of the proportion of the leadership in large crowds and its effect on crowd movement. The potential applications of these findings are highlighted in the final discussion of this paper.

LanguageEnglish
Article numbere80680
Number of pages12
JournalPLoS One
Volume9
Issue number1
DOIs
Publication statusPublished - 17 Jan 2014
Externally publishedYes

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group behavior
leadership
computer simulation
Computer Simulation
decision making
simulation models
Consensus
Decision Making
Decision making
Computer simulation
Aptitude
Ants
Experiments
Theoretical Models
ant colonies

Cite this

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Computer simulation of leadership, consensus decision making and collective behaviour in humans. / Wu, Song; Sun, Quanbin.

In: PLoS One, Vol. 9, No. 1, e80680, 17.01.2014.

Research output: Contribution to journalArticle

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