The Proceedings of Mechanical Engineering Congress, Japan
Online ISSN : 2424-2667
ISSN-L : 2424-2667
2022
Session ID : C011-01
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Human/Society Modeling and Surrogate Models using AI for building Digital Twins
~ How far Human (Scientific, Empirical, Tacit) Knowledge can be replaced by AI ?~
*Tohru HIRANO
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Abstract

First, we will introduce the background of this Forum, and then describe the architecture of a global manufacturing enterprise and the role of humans. Furthermore, uncertainty and complexity in the modeling of Human/Society will be discussed and the classification and modeling of human knowledge (scientific, empirical, tacit) will be presented. Finally, we will discuss the replacement of the human knowledge by the surrogate models using AI for building Digital Twins.

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© 2022 The Japan Society of Mechanical Engineers
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