Machine Learning in Multi-Agent System Analysis
Emilio Serrano ( Technical University of Madrid, Spain )
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11:30 10th October 2017051
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.