arXiv AI By Mark Burgess

Quantitative Promise Theory: Intentionality and Inference in Autonomous Agents

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arXiv:2606. 08552v1 Announce Type: new Abstract: I discuss some quantitative representations of Promise Theory for processes involving autonomous agents.

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arXiv AI
Oct 2

Empty Commitments: When Agents Promise What Their Runtime Cannot Deliver

The paper introduces the concept of empty commitments, where an agent promises an action that its current tools or runtime cannot execute. It defines empty commitments using commitment semantics, identifies three failure types, and proposes an anchoring condition for realistic tool promises. The authors also outline a measurement protocol that tests follow‑up requests across five setups, each adding a different persistence affordance, with the environment either implicit or explicitly stated.

By Jiaqi Tang, Lan Wei, Bingyu Shen, Boyang Li