Internal Agent Architecture for Norm Identification

Most works on norms in the multi-agent systems field have concentrated on how norms can be applied to regulate behaviour in agent societies using a top-down approach. In this work, we describe the internal architecture of an agent which identifies what the norm of a society is using a bottom-up approach. The agents infer norms without the norms being given to them explicitly. We demonstrate how the norm associated with using a park can be inferred by an agent using the proposed architecture.

• Type: Conference
• Year: 2009
• Where: ATAL
• Authors: Bastin Tony Roy Savarimuthu, Stephen Cranefield, Maryam Purvis, Martin K. Purvis
• Keywords: Agent Societies, Agents Infer Norms, ATAL 2009, Intelligent Agents, Multi-agent Systems Field