ModellingUS & West
Stochastic MPC robust to errors in disturbance statistics
DT.ForecastarXiv — Systems and Control (eess.SY) ↗
Large language models across the agent-based modelling cycle
The paper reviews current uses of LLMs in agent-based modelling and critically examines opportunities and challenges across the modelling cycle, from problem formulation to documentation and communication of results, including summarization, information extraction and reasoning.
Why it matters
Outlines where language models can speed up building and maintaining simulation models and where caution is required.
- Original headline
- Large Language Models for Agent-Based Modelling: Current and possible uses across the modelling cycle
Translation and summary are machine-generated from the source. The full article is not republished; its rights belong to the source.