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Continual Enterprise World Model Discovery in Dynamic Systems

arXiv · Artificial Intelligence · article · Sep 17, 2026 · UTC

In an enterprise system, updating one field can set another, create a record, or start an approval. These effects are produced by business rules that are not built into the platform but written by each organization and revised over time. An agent working in such a system cannot predict the result of its own actions without knowing these rules. We study continual enterprise world model discovery, where an agent starts without knowledge of these business rules and discovers them by interacting with records and observing the outcomes. From those observations it builds a world model, which it revi

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Evidence & attribution

First collected: 2026-09-19T20:26:32.566Z. This is not the publication date.