Artificial Moral Agent

AJAR: An Argumentation-based Judging Agents Framework for Ethical Reinforcement Learning
Paper presented at the Autonomous Agents and Multiagent Systems conference. It presents the AJAR framework, which uses argumentation-based judging agents to provide rewards for Reinforcement Learning agents, according to one or several moral values. This “judgment of ethics” is used to nudge the learning agents towards an “ethical behavior”, that is, a behavior aligned with the given moral values.
Benoît Alcaraz, Olivier Boissier, Rémy Chaput, Christopher Leturc
Cite DOI HAL ACM DL