Date of this Version

4-17-2004

Document Type

Conference Paper

Publication Details

Accepted Version.

Finnie, G., & Barker, J. (2004). Adaptive agents for supply networks. Paper presented at the Proceedings of the 6th International Conference on Enterprise Information Systems (ICEIS 2004), Porto, Portugal.

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© Copyright Gavin Finnie & Jeffrey Barker, 2004

Abstract

Dynamic information flow in esupply networks requires that buyers and suppliers have the ability to react rapidly when needed. Using intelligent agents to automate the process of buyer/seller interaction has been proposed by a number of researchers. One problem in providing intelligent automated collaboration is incorporating learning capability i.e. an agent should be capable of adapting its behaviour as conditions change. This paper proposes a scalable multi-agent system which uses case-based reasoning as a framework for at least part of its intelligence. Tests with a simulated system show that such an agent is capable of learning the best supplier and also capable of adapting if supply conditions change.