Awareness-Based Learning Model to Improve Cooperation in Collaborative Distributed Environments
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
An Awareness-Based Artificial Neural Network for Cooperative Distributed Environments
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
EP-MAS.Lib: A MAS-Based Evolutionary Program Approach
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
A Token-Based Mutual Exclusion Approach to Improve Collaboration in Distributed Environments
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
An awareness-based learning model to deal with service collaboration in cloud computing
Transactions on computational collective intelligence I
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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.