Autonomous Digital Twin of Enterprise: Method and Toolset for Knowledge-Based Multi-Agent Adaptive Management of Tasks and Resources in Real Time

Autonomous Digital Twin of Enterprise: Method and Toolset for Knowledge-Based Multi-Agent Adaptive Management of Tasks and Resources in Real Time

Digital twins of complex technical objects are widely applied for various domains, rapidly becoming smart, cognitive and autonomous. However, the problem of digital twins for autonomous management of enterprise resources is still not fully researched. In this paper, an autonomous digital twin of ent...

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Bibliographic Details
Main Authors: Vladimir Galuzin, Anastasia Galitskaya, Sergey Grachev, Vladimir Larukhin, Dmitry Novichkov, Petr Skobelev, Alexey Zhilyaev
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Mathematics
Subjects:
autonomy
digital twin
enterprise
resource management
ontology
multi-agent technology
Online Access:https://www.mdpi.com/2227-7390/10/10/1662

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