7 citations · 8 across the 12 of their papers we have counts for
6 papers · 1 filter
ProToM: Promoting Prosocial Behaviour via Theory of Mind-Informed Feedback
Matteo Bortoletto, Yichao Zhou, Lance Ying +2
While humans are inherently social creatures, the challenge of identifying when and how to assist and collaborate with others - particularly when pursuing independent goals - can h…
The Yokai Learning Environment: Tracking Beliefs Over Space and Time
Constantin Ruhdorfer, Matteo Bortoletto, Johannes Forkel +2
The ability to cooperate with unknown partners is a central challenge in cooperative AI and widely studied in the form of zero-shot coordination (ZSC), which evaluates an algorithm…
Explicit Modelling of Theory of Mind for Belief Prediction in Nonverbal Social Interactions
Matteo Bortoletto, Constantin Ruhdorfer, Lei Shi +1
We propose MToMnet - a Theory of Mind (ToM) neural network for predicting beliefs and their dynamics during human social interactions from multimodal input. ToM is key for effectiv…
Limits of Theory of Mind Modelling in Dialogue-Based Collaborative Plan Acquisition
Matteo Bortoletto, Constantin Ruhdorfer, Adnen Abdessaied +2
Recent work on dialogue-based collaborative plan acquisition (CPA) has suggested that Theory of Mind (ToM) modelling can improve missing knowledge prediction in settings with asymm…
Mindful Explanations: Prevalence and Impact of Mind Attribution in XAI Research
Susanne Hindennach, Lei Shi, Filip Miletić +1
When users perceive AI systems as mindful, independent agents, they hold them responsible instead of the AI experts who created and designed these systems. So far, it has not been…
Neural Reasoning About Agents' Goals, Preferences, and Actions
Matteo Bortoletto, Lei Shi, Andreas Bulling
We propose the Intuitive Reasoning Network (IRENE) - a novel neural model for intuitive psychological reasoning about agents' goals, preferences, and actions that can generalise pr…