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Authors: Gavin Finnie and Jeff Barker

Affiliation: School of Information Technology, Bond University, Australia

Keyword(s): Agents, Case-Based Reasoning, Supply Chain Management

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Enterprise Information Systems ; e-Procurement and Web-Based Supply Chain Management ; Internet and Collaborative Computing ; Software Agents and Internet Computing

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.

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Paper citation in several formats:
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; ISSN 2184-4992, SciTePress, pages 480-483. DOI: 10.5220/0002611104800483

@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},
issn={2184-4992},
}

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
IS - 2184-4992
AU - Finnie, G.
AU - Barker, J.
PY - 2004
SP - 480
EP - 483
DO - 10.5220/0002611104800483
PB - SciTePress