Understanding Theory of Mind should begin with an analysis of the problems it solves. The
traditional answer is that Theory of Mind is used for predicting others' thoughts and actions …

Social learning is often portrayed as a passive process of copying and trusting others. This
view, however, does not fully capture what makes human social learning so powerful: social …

The processes underwriting the acquisition of culture remain unclear. How are shared
habits, norms, and expectations learned and maintained with precision and reliability across …

A hallmark property of explainable AI models is the ability to teach other agents,
communicating knowledge of how to perform a task. While Large Language Models perform …

Are young children just random explorers who learn serendipitously? Or are even young
children guided by uncertainty‐directed sampling, seeking to explore in a systematic …

The complex reward structure of the social world and the uncertainty endemic to social
contexts poses a challenge for modeling. For example, during social interactions, the actions …

Those designing autonomous systems that interact with humans will invariably face
questions about how humans think and make decisions. Fortunately, computational …

Highlights•RL models have been applied to study the neural underpinnings of social
learning.•Past work has largely found neural correlates of observable, reward-predictive …

Science learning has been considered a difficult subject for students. This study aims to
analyze student error answers on students' science understanding abilities on energy …

The ability to estimate the state of a human partner is an insufficient basis on which to build
cooperative agents. Also needed is an ability to predict how people adapt their behavior in …