CrowdIM: Crowd-Inspired Intelligent Manufacturing Space Design

Bin Guo, Jiaqi Liu, Sicong Liu, Jiayao Wang, Mengyuan Li, Chen Wang, Zhiwen Yu

科研成果: 期刊稿件文章同行评审

6 引用 (Scopus)

摘要

Crowd-inspired intelligent manufacturing space (CrowdIM) aims to leverage the aggregated power of heterogeneous human-machine-things (HMT) agents for improving the efficiency of intelligent manufacturing. A significant scientific problem in CrowdIM is how to improve individual skills and crowd intelligence through cooperation, complementation, competition, and confrontation among HMT agents. The emergence mechanism of biological crowd intelligence provides an inspiration to address this challenge. This article explores the mapping mechanisms between natural crowd intelligence and CrowdIM, from the aspects, such as collective dynamics, self-adaptive mechanism, crowd intelligence optimization, graph structure mapping model, evolutionary game dynamics, multiagent learning, and so on. We further propose a general model of CrowdIM and expound it through a typical case study.

源语言英语
页(从-至)19387-19397
页数11
期刊IEEE Internet of Things Journal
9
19
DOI
出版状态已出版 - 1 10月 2022

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