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This paper complements the research carried out on the CAM (Collaborative/Cooperative Awareness Management) model with the inclusion of a new learning strategy based on the historical information of previous collaboration/cooperation with the aim to predict future behavior as well as for optimizing purposes. This strategy is based on neural network technology, specifically on Radial Based Function Network (RBFN). Results show that a RBFN properly configured to represent this problem can successfully learn from the data associated to the cooperation in the Grid because it reaches an acceptable average error.
Date of Conference: 9-12 Dec. 2008