The Proceedings of Mechanical Engineering Congress, Japan
Online ISSN : 2424-2667
ISSN-L : 2424-2667
2023
Session ID : F011-1
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On the Extended Digital Twins including Uncertainty and Complexity of Human/Society~ Uncertainty Quantification for Things/Events and Knowledge Acquisitions ~
*Tohru HIRANO
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Abstract

First, we will introduce the background of this Forum, and then describe the definition of Extended Digital Twins including the uncertainty and complexity of Humans and Society. The factors of uncertainty and complexity in the CPS process are classified into uncertainty related to things and uncertainty related to events. The Extended Digital Twins including network science will be introduced for modeling complex systems and services related to corporate and social activities such as supply chains and service chains. Knowledge acquisition through AI is also discussed.

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© 2023 The Japan Society of Mechanical Engineers
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