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Multi-Agent System for Simulation Model Parametrization in Digital Twins

Multi-Agent System for Simulation Model Parametrization in Digital Twins

Industrial AI Podcast vor 1 Jahr

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.

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57:40

Podcast

Industrial AI Podcast

350 Episoden

How the industry can benefit from AI technologies and what it takes to do so.

Wissenschaft Technologie Wirtschaft

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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.