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cs.AI2024
LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins
Yuchen Xia, Daniel Dittler, Nasser Jazdi +2
This paper presents a novel design of a multi-agent system framework that applies large language models (LLMs) to automate the parametrization of simulation models in digital twins…
cs.AI2024
Incorporating Large Language Models into Production Systems for Enhanced Task Automation and Flexibility
Yuchen Xia, Jize Zhang, Nasser Jazdi +1
This paper introduces a novel approach to integrating large language model (LLM) agents into automated production systems, aimed at enhancing task automation and flexibility. We or…
cs.AI2024
Generation of Asset Administration Shell with Large Language Model Agents: Toward Semantic Interoperability in Digital Twins in the Context of Industry 4.0
Yuchen Xia, Zhewen Xiao, Nasser Jazdi +1
This research introduces a novel approach for achieving semantic interoperability in digital twins and assisting the creation of Asset Administration Shell (AAS) as digital twin mo…