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Enhancing Digital Twins with Advances in Simulation and Artificial Intelligence: Opportunities and Challenges

Published

Author(s)

Simon Taylor, Charles Macal, Andrea Matta, Markus Rabe, Susan Sanchez, Guodong Shao

Abstract

Simulations are used to investigate physical systems. A digital twin goes beyond this by connecting a simulation with the physical system with the purpose of analyzing and controlling that system in real-time. In the past five years, there has been a substantial increase in research into Simulation and Artificial Intelligence (AI). The combination of Simulation with AI presents many possible innovations. Similarly, combining AI with Simulation presents further possibilities including approaches to developing trustworthy and explainable AI methods, solutions to problems arising from sparce or no data and better methods for time series analysis. Given the progress that has been made in Digital Twins, Simulation, and AI, what opportunities are there from combining these two exciting research areas? What challenges need to be overcome to achieve these? This article discusses these from the perspectives of six leading members of the Modeling and Simulation community.
Conference Dates
December 10-13, 2023
Conference Location
San Antonio, TX, US
Conference Title
Winter Simulation Conference 2023

Keywords

Digital twin, Simulation, Artificial Intelligence

Citation

Taylor, S. , Macal, C. , Matta, A. , Rabe, M. , Sanchez, S. and Shao, G. (2023), Enhancing Digital Twins with Advances in Simulation and Artificial Intelligence: Opportunities and Challenges, Winter Simulation Conference 2023, San Antonio, TX, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=956157 (Accessed March 2, 2024)
Created December 13, 2023, Updated December 14, 2023