Incremental Learning of Mental Models for Behavior Understanding. - Jan Pöppel (AAMAS, 2018)

Satisficing Models of Bayesian Theory of Mind for Explaining Behavior of Differently Uncertain Agents: Socially Interactive Agents Track. - Jan Pöppel; Stefan Kopp (AAMAS, 2018)

Egocentric Tendencies in Theory of Mind Reasoning: An Empirical and Computational Analysis. - Jan Pöppel; Stefan Kopp (CogSci, 2019)

Satisficing Mentalizing: Bayesian Models of Theory of Mind Reasoning in Scenarios with Different Uncertainties. - Jan Pöppel; Stefan Kopp (CoRR, 2019)

Less Egocentric Biases in Theory of Mind When Observing Agents in Unbalanced Decision Problems. - Jan Pöppel; Stefan Kopp; Stacy Marsella (CogSci, 2021)

Differences and Biases in Mentalizing About Humans and Robots. - Sophie Husemann; Jan Pöppel; Stefan Kopp (RO-MAN, 2022)

Resonating Minds - Emergent Collaboration Through Hierarchical Active Inference. - Jan Pöppel; Sebastian Kahl; Stefan Kopp (Cogn. Comput., 2022)

Models for Satisficing Mentalizing - Jan Pöppel (2023)