Towards an Architecture for Self-regulating Agents: A Case Study in International Trade
نویسندگان
چکیده
Norm-enforcement models applied in human societies may serve as an inspiration for the design of multi-agent systems. Models for normenforcement in multi-agent systems often focus either on the intraor interagent 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.
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