ADAPTIVE AGENTS FOR SUPPLY NETWORKS

Gavin Finnie, Jeff Barker

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 it’s 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.

References

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Paper Citation


in Harvard Style

Finnie G. and Barker J. (2004). ADAPTIVE AGENTS FOR SUPPLY NETWORKS . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 4: ICEIS, ISBN 972-8865-00-7, pages 480-483. DOI: 10.5220/0002611104800483


in Bibtex Style

@conference{iceis04,
author={Gavin Finnie and Jeff Barker},
title={ADAPTIVE AGENTS FOR SUPPLY NETWORKS},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 4: ICEIS,},
year={2004},
pages={480-483},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002611104800483},
isbn={972-8865-00-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 4: ICEIS,
TI - ADAPTIVE AGENTS FOR SUPPLY NETWORKS
SN - 972-8865-00-7
AU - Finnie G.
AU - Barker J.
PY - 2004
SP - 480
EP - 483
DO - 10.5220/0002611104800483