Complex Systems, Artificial Intelligence and Robotics
Department 5 consists of 5 teams interested in Complex Systems and Artificial Intelligence.
A common theme of all the teams is studying and modeling complex systems involving large numbers of entities, namely cellular automata (MAIA), biomolecules (CAPSID), neural networks (CORTEX, NEUROSYS), artificial and robotic multi-agent systems (MAIA), and social systems (KIWI).
The department also studies more fundamental topics concerning artificial intelligence tools, namely learning with neural networks (CORTEX), bio-inspired computation (CORTEX, MAIA), machine learning (KIWI, MAIA), complex data analysis (Neurosys, CAPSID, KIWI, MAIA), planning and decision under uncertainty / reinforcement learning (MAIA), recommender systems (KIWI), and biomolecular structure analysis (CAPSID).
algorithmic, modelling, computational neuroscience, computational biology, cognitive science, collaborative filtering, social recommendation, human machine interface, machine learning, planning under uncertainty / reinforcement learning, knowledge discovery in databases, parallel / high-performance computing, bio-medical applications