David, I., & Bork, D. (2024). Infonomics of Autonomous Digital Twins. In Advanced Information Systems Engineering (pp. 563–578). https://doi.org/10.1007/978-3-031-61057-8_33
36th International Conference on Advanced Information Systems Engineering (CAiSE 2024)
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Event date:
3-Jun-2024 - 7-Jun-2024
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Event place:
Limassol, Cyprus
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Number of Pages:
16
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Peer reviewed:
Yes
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Keywords:
autonomy; digital transformation; information value
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Abstract:
High autonomy is challenging to achieve in digital twins. This is due to the lack of understanding of the socio-technical challenges and the information needs of digital twin autonomy. In this paper, we contextualize digital twin autonomy in terms of human and technical factors, identify novel socio-technical classes of digital twins with varying levels of autonomy, and define strategies that help improve autonomy across these classes. Our strategies are governed by information valuation models we developed specifically for digital twins. Our approach fosters a systematic top-down technique to improve the autonomy of digital twins.
