Integrating knowledge through cooperative negotiation: a case study in bioinformatics

Authors:
Cassia T. dos Santos;Ana L. C. Bazzan
Affiliations:
Instituto de Informática, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil;Instituto de Informática, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
Venue:
AIS-ADM 2005 Proceedings of the 2005 international conference on Autonomous Intelligent Systems: agents and Data Mining
Year:
2005

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Abstract

Data Mining techniques have been used for knowledge extraction from large volumes of data. A recent practice is to combine Data Mining and Multi-Agent Systems approaches. In this paper we propose the use of cooperative negotiation to construct an integrated and coherent domain model from several sources. Agents encapsule different symbolic machine learning algorithms to induce their individual models. After this, a global model yields from the interaction via cooperative negotiation of these agents. The results shows that the proposed approach improves the accuracy of the individual models, integrating the best representations of each one.