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Technical paper | Open Access

A new simulation framework for crowd collaborations

Rui Yang, Hongbo Sun( )
School of Computer and Control Engineering, Yantai University, Yantai, China
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Abstract

Purpose

Collaboration 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/approach

In 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.

Findings

To 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/value

Two 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.

Keywords

SimulationCooperation chainCrowd collaborationsSwarm intelligence unit

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International Journal of Crowd Science
Volume 5 Issue 1,
April 2021
Pages 2-16
DOI: 10.1108/IJCS-02-2020-0006
Cite this article:
Yang R, Sun H. A new simulation framework for crowd collaborations. International Journal of Crowd Science, 2021, 5(1): 2-16. https://doi.org/10.1108/IJCS-02-2020-0006

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Received: 25 February 2020
Revised: 16 May 2020
Accepted: 17 May 2020
Published: 23 July 2020
© The author(s)

Rui Yang and Hongbo Sun. Published in International Journal of Crowd Science. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode
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