# Penalization Framework For Autonomous Agents Using Answer Set Programming

arXiv: https://arxiv.org/abs/2309.04487 · HTML: https://mlsanity.com/paper/2309.04487/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 10 references that are in the map.
- First posted on arXiv 30 Aug 2023.

## Builds on (most cited first, 1 of 1)

- [ASP-Core-2 Input Language Format](https://mlsanity.com/paper/1911.04326/) (2019)

## Abstract (arXiv)

This paper presents a framework for enforcing penalties on intelligent agents that do not comply with authorization or obligation policies in a changing environment. A framework is proposed to represent and reason about penalties in plans, and an algorithm is proposed to penalize an agent's actions based on their level of compliance with respect to authorization and obligation policies. Being aware of penalties an agent can choose a plan with a minimal total penalty, unless there is an emergency goal like saving a human's life. The paper concludes that this framework can reprimand insubordinate agents.