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From Natural Language to Simulations: Applying GPT-3 Codex to Automate Simulation Modeling of Logistics Systems. (arXiv:2202.12107v1 [cs.AI])
cs.CL updates on arXiv.org arxiv.org
Our work is the first attempt to apply Natural Language Processing to
automate the development of simulation models of logistics systems. We
demonstrated that the framework built on top of the fine-tuned
Transdormer-based language model could produce functionally valid simulations
of queuing and inventory control systems given the verbal description. The
proposed framework has the potential to remove the tedium of programming and
allow experts to focus on the high-level consideration of the problem and
holistic thinking.
ai arxiv codex gpt gpt-3 language logistics modeling natural natural language simulation simulations systems