A Comparative Analysis of Negotiation Methods for a Multi-neural Agent System

Authors:
Marjory Cristianny C. Abreu;Anne Magaly P. Canuto;Laura E. A. S. Santana
Affiliations:
Federal University of Rio Grande do Norte, Natal, RN, Brazil;Federal University of Rio Grande do Norte, Natal, RN, Brazil;Federal University of Rio Grande do Norte, Natal, RN, Brazil
Venue:
HIS '05 Proceedings of the Fifth International Conference on Hybrid Intelligent Systems
Year:
2005

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An analysis of data distribution in the ClassAge system: An agent-based system for classification tasks

Neurocomputing

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Abstract

This paper presents a comparative analysis of some negotiation methods used in a multi-neural agent system (NeurAge). This systems is composed of several neural classifiers (called neural agents) and its main aim is to overcome some drawbacks of multi-classifier systems and, as a consequence, to improve performance of such systems