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Machine Learning in Multi-Agent System Analysis

Emilio Serrano ( Technical University of Madrid, Spain )

In this talk, Emilio Serrano presents some of his works using machine learning to analyse, design, and develop interaction methods among agents into an artificial society. The importance of multi-agent systems is that these systems may be used to implement a great variety of complex systems such as cloud computing, the Semantic Web, ambient intelligence, or social simulations.

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