Learning multi-value ethical behaviours by combining symbolic judging agents and learning agents

To answer the need to imbue Artificial Intelligence algorithms with ethical considerations, this article propose a method combining reasoning and learning, where judging agents evaluate the ethics of learning agents’ behavior. This separation offers several advantages: co-construction between agents and humans; judges more accessible for non-experts humans; richer feedback by using multiple judgments. Experiments on energy distribution inside a Smart Grid simulator show the learning agents’ ability to comply with judging agents’ rules, including when they evolve.