Integrating Knowledge Through Cooperative Negotiation - A Case Study in Bioinformatics

摘要

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.