Multi-Agent System for Simulation Model Parametrization in Digital Twins
Yuchen Xia talks to Peter Seeberg about his paper Large Language
Model Multi-Agent System for Simulation Model Parametrization in
Digital Twins. He and his co-authors received the Best-Paper-Award
at IEEE EFTA 2024.
58 Minuten
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Beschreibung
vor 2 Monaten
Xia is doing his doctorate at the University of Stuttgart at the
Institute for Industrial Automation and Software Engineering. He
investigates how to apply the LLM reasoning capability to make the
simulation models more intelligent. Based on our research
exploration, he proposed a concept design consisting of LLM-agents
system and digital twins to enhance the intelligence and
user-friendliness of industrial software systems.
Institute for Industrial Automation and Software Engineering. He
investigates how to apply the LLM reasoning capability to make the
simulation models more intelligent. Based on our research
exploration, he proposed a concept design consisting of LLM-agents
system and digital twins to enhance the intelligence and
user-friendliness of industrial software systems.
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