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Description:

This thesis explores the use of probabilistic programming to model Theory of Mind (ToM) and support human-agent collaboration. The goal is to implement and evaluate probabilistic models that allow artificial agents to infer and reason about the beliefs, intentions, and goals of human collaborators. The project involves developing probabilistic programs (e.g., using Pyro, PyMC, memo or similar frameworks), applying them to collaborative scenarios, and analyzing their effectiveness in improving agent behavior and interaction quality.

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Flyer (pdf)