TEP Studio and Self-Describing Process Simulators
Dynamic process models are increasingly consumed by automated agents rather than by control engineers reading source code. These agents include data pipelines that assemble training sets, reinforcement-learning algorithms, and language models. Each depends on process meaning that a numerical interface does not expose, such as what each variable represents, which signals are available online, and which limits trigger a shutdown. Today that meaning lives in source code and informal convention, so recovering it is error-prone and does not transfer across a model’s many independent implementations. ...