arXiv Artificial Intelligence

Continual Enterprise World Model Discovery in Dynamic Systems

Continual Enterprise World Model Discovery in Dynamic Systems

Quick summary

arXiv:2609.19551v1 Announce Type: new Abstract: 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 obs

Key takeaways

  • arXiv:2609.19551v1 Announce Type: new Abstract: 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.

Why it matters

This model development creates a new option for users and a new testing obligation for developers. A fixed evaluation set comparing quality, cost and failure behavior is more useful than launch claims.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗