Human Digital Twins and Cognitive Mimetic
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Digital twins – digital models of technical systems and processes – have recently been introduced to work with complex industrial processes. Yet should such models concern only physical objects (as definitions of them often imply), or should users and other human beings also be included? Models that include people have been called human digital twins (HDTs); they facilitate more accurate analyses of technologies in practical use. The cognitive mimetic approach can be used to describe human interactions with technologies. This approach analyses human information processes such as perceiving and thinking to mimic how people process information in order to design intelligent technologies. The results of such analyses can be presented as an ontology of human action, and in this way included in HDT models.
KeywordsDigital twins Human-systems integration Cognitive mimetic AI
This paper has been supported by BF SEED-project.
- 1.Gelernter, D.: Mirror Worlds. Oxford University Press, Oxford (1991)Google Scholar
- 2.Grieves, M., Vickers, J.: Digital twin: mitigating unpredictable, undesirable emergent behavior in complex systems. In: Transdisciplinary Perspectives on Complex Systems, pp. 85–113. Springer, London (2017)Google Scholar
- 3.Wilson, H., Daugherty, P.: Collaborative intelligence: humans and AI are joining forces. Harv. Bus. Rev., 2–111 (2018)Google Scholar
- 4.Saariluoma, P., Kujala, T., Karvonen, A., Ahonen M.: Cognitive mimetics - main ideas. In: Proceedings on the International Conference on Artificial Intelligence (ICAI), pp. 202–206. The Steering Committee of the World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp) (2018)Google Scholar
- 5.Newell, A., Simon, H.A.: Human Problem Solving. Prentice-Hall, Engelwood Cliffs (1972)Google Scholar
- 6.Turing, A.M.: On computable numbers, with an application to the Entscheidungsproblem. Proc. Lond. Math. Soc. 42, 230–265 (1936–7)Google Scholar