Game theory: to cooperate or not to cooperate? with Tom Lenaerts

Tom Lenaerts is Professor in the Computer Science department of the Université Libre de Bruxelles (ULB), where he is co-heading the Machine Learning Group (MLG). MLG targets machine learning, AI and behavioural intelligence research focusing on time series analysis, causal and network inference, collective decision-making, social AI and behavioural
analysis with applications in mobility, medicine, finance and biology. He currently also holds a partial affiliation as research professor with the Artificial Intelligence Lab of the Vrije Universiteit Brussel and is affiliated researcher with the Center for Human-Compatible AI at UC Berkeley. He is Chair of the Benelux Association for Artificial Intelligence, the main representing entity for academic AI research in the region, and expert in the Global Partnership on Artificial Intelligence. He has worked in a variety of interdisciplinary domains and has co-authored many internationally published papers in AI, machine learning, optimisation, collective intelligence, computational biology and bioinformatics, aiming to answertheoretical and practical questions within computer, social, biological and medical sciences.

Game theory is a field at the border between Psychology and Mathematics, where the players in question are not necessarily opposed to each other, but have the choice to cooperate. It applies to situations where several people have to make decisions, and the outcome will also depend on the decisions made by everyone else. Well, as is often the case in real life. These situations were theorized namely by American mathematician John Nash, whom you might remember from Hollywood movie «A beautiful mind» (one where Russell Crowe is not a gladiator). Cooperate or betray? To forgive or to punish? Which is better for you? Come and figure it out. It’s only up to you to decide. Or is it?

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