计算机科学
理性
计算智能
透视图(图形)
过程(计算)
人类智力
人工智能
生产(经济)
机器学习
数据科学
人机交互
知识管理
政治学
法学
经济
宏观经济学
操作系统
作者
Jinbai Miao,Xiao Sun,Jun Qian,Ziyang Wang,Yi Chai
标识
DOI:10.26599/ijcs.2023.9100008
摘要
Crowd collaboration system, originating from cooperation among animals in nature, is composed of intelligent subjects, characterized by complex dynamic interactions, and has many applications in daily life. In the fields of psychology and computing, scientists have tried to quantify individual intelligence with performance on tasks. In this paper, we explore the main factors affecting group performance for small production factories from the perspective of intelligence. Based on the individual daily efficiency and the average process efficiency, we evaluate individual intelligence level and interaction intensity by integrating group size and efficiency difference, and thus propose crowd intelligence evaluation method. The rationality of the method is analyzed from overall group performance and change in the average individual performance. In the future, the intelligence evaluation method can be applied to more general production scenarios, and the impact of external uncertainty on the intelligence can be studied with simulation to achieve real-time and quantitative optimization of intelligence level of the crowd collaboration system.
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