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The activity of this group focuses on the design and development of multi-agent systems, namely open and distributed systems composed of intelligent agents, which are endowed with coordination mechanisms to help them collectively solve problems.
The research activity of this group encompasses developing machine learning techniques, from case-based learning and reasoning to probabilistic learning, and their application to robotics, privacy-preserving data mining, music and multiagent systems.
The activity of this group is centered around the logic and mathematic modelization of reasoning, and the design of algorithms for solving constraint-based problems and satisfiability.