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.
Burgemeestre et al. REF propose a combined approach to identify objectives for an architecture for self-regulating agents.
Towards an Architecture for Self-regulating Agents: A Case Study in International Trade
MALLOW
Computer Science