Towards an Architecture for Self-regulating Agents: A Case Study in International Trade

Abstract--Norm-enforcement models applied in human societies may serve as an inspiration for the design of multi-agent systems. Models for norm-enforcement in multi-agent systems often focus either on the intra- or inter-agent level. We propose a combined approach to identify objectives for an architecture for self-regulating agents. In this paper we assess how changes on the inter-agent level affect the intra-agent level and how a generic BDI architecture IRMA can be adapted for self-regulation. The approach is validated with a case study of AEO certification, a European wide customs initiative to secure the supply chain while facilitating international trade.

• Type: Conference
• Year: 2009
• Where: ATAL
• Authors: Brigitte Burgemeestre, Joris Hulstijn, Yao-Hua Tan
• Keywords: ATAL 2009, Bdi Architecture Irma, Intelligent Agents, Inter-agent Level, Multi-agent Systems