A new simulation framework for crowd collaborations

PurposeCollaboration is a common phenomenon in human society. The best way of collaborations can make the group achieve the best interests. Because of the low cost and high repeatability of simulation, it is a good method to explore the best way of collaborations by means of simulation. The traditio...

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Bibliographic Details
Main Authors: Rui Yang, Hongbo Sun
Format: Article
Language:English
Published: Tsinghua University Press 2021-04-01
Series:International Journal of Crowd Science
Subjects:
Online Access:https://www.sciopen.com/article/10.1108/IJCS-02-2020-0006
Description
Summary:PurposeCollaboration is a common phenomenon in human society. The best way of collaborations can make the group achieve the best interests. Because of the low cost and high repeatability of simulation, it is a good method to explore the best way of collaborations by means of simulation. The traditional simulation is difficult to adapt to the crowd intelligence network simulation, so the crowd collaborations simulation is proposed.Design/methodology/approachIn this paper, the atomic swarm intelligence unit and collective swarm intelligence unit are proposed to represent the behavior of individuals and groups in physical space and the interaction between them.FindingsTo explore the best collaboration mode of the group, a framework of crowd collaborations simulation is proposed, which decomposes the big goal into the small goals by constructing the cooperation chain and analyzes the cooperation results and feeds them back to the next simulation.Originality/valueTwo kinds of swarm intelligence units are used to represent the simulated individuals in the group, and the pattern is used to represent individual behavior. It is suitable for the simulation of collaboration problems in various types and situations.
ISSN:2398-7294