Sign inGet started
Paper · arXiv

The Intelligent Disobedience Game: Formulating Disobedience in Stackelberg Games and Markov Decision Processes

In shared autonomy, a critical tension arises when an automated assistant must choose between obeying a human's instruction and deliberately overriding it to prevent harm. This safety-critical behavior is known as intelligent disobedience. To formalize this dynamic, this paper introduces the Intelligent Disobedience Game (IDG), a sequential game-theoretic framework based on Stackelberg games that models the interaction between a human leader and an assistive follower operating under asymmetric information. It characterizes optimal strategies for both agents across multi-step scenarios, identifying strategic phenomena such as ``safety traps,'' where the system indefinitely avoids harm but ...

AuthorsBenedikt Hornig, Reuth Mirsky
Primary categorycs.AI
Published22 March 2026
Last updated at source22 March 2026
cs.AIcs.GTcs.LG
Embed this entry
<iframe src="https://silytics.si/embed/item/c5e9a460-6f1c-4095-88ad-1cda57679c78" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.