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capable of automatically selecting the simulation strategy best suited to a given prediction objective, while optimizing the trade-off between accuracy and computational cost. The work will build on multi
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and optimize specific functions. The ICMCB carries out fundamental research on model materials and/or materials with potential applications. The ICMCB is a UMR with an average of 280 agents (permanent
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of Cognitive Engineering and Decision Making, Volume 17, Issue 1, 2022. [2] A. Muzahid et al. “Survey on Human-Vehicle Interactions and AI Collaboration for Optimal Decision-Making in Automated Driving”, arXiv
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