Oldenburg, Ninell & Tan, Zhi-Xuan: Learning and Sustaining Shared Normative Systems via Bayesian Rule Induction in Markov Games

_Aamas '24: Proceedings of the 23Rd International Conference on Autonomous Agents and Multiagent Systems_ 2024:1510-1520. 2024A universal feature of human societies is the adoption of systems of rules and norms in the service of cooperative ends. How can we build learning agents that do the same, so that they may flexibly cooperate with the human institutions they are embedded in? We hypothesize that agents can achieve this by assuming there exists a shared set of norms that most others comply w