We apply mathematics to understand how natural and artificial agents interact and learn in an environment to perform some tasks.

We also develop machine learning tools to obtain better datasets in animal behavior so some of our theories and models can be tested experimentally.

Keywords: animal behavior, collective behavior, machine learning, modelling, information theory, artificial intelligence

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Main Interests

New ways of looking at collective behavior in societies of animals, neurons and artificial systems

Methods

Mathematical modelling and analysis tools, AI, behavior, imaging

Systems

Zebrafish and human groups, networks

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AFFILIATION

Champalimaud Foundation

Champalimaud Centre for the Unknown

Avenida Brasília, 1400-038 Lisbon, Portugal

T (+351) 210 480 200

gonzalo.polavieja(at)research.fchampalimaud.org

FUNDING