Agent-based digital twins for collaborative machine intelligence solutions

IF 2.5 Q2 ENGINEERING, INDUSTRIAL
Yiming He, Weiming Shen
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Abstract

The deep integration of digital twins (DT) and agents is expected to open up new collaborative machine intelligence solutions. A new concept, namely, agent-based digital twins (ADT), is proposed to establish a novel machine intelligence framework with automatic perception, self-evolution and autonomous collaboration.

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来源期刊
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
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