Abstract
In normative multi-agent systems, the question of “how an agent identifies a norm in an agent society” has not received much attention. This paper aims at addressing this question. To this end, this paper proposes an architecture for norm identification for an agent. The architecture is based on observation of interactions between agents. This architecture enables an autonomous agent to identify the norms in a society using the Candidate Norm Inference (CNI) algorithm. The CNI algorithm uses association rule mining approach to identify sequences of events as candidate norms. When a norm changes, the agent using our architecture will be able to modify the norm and also remove a norm if it does not hold in its society. Using simulations we demonstrate how an agent makes use of the norm identification framework.