In reversal learning tasks, the behavior of humans and animals is often assumed to be
uniform within single experimental sessions to facilitate data analysis and model fitting …

Uncertainty is a fundamental aspect of the environment. This special issue presents
interdisciplinary research on decision-making and learning under uncertainty. Thirty-one …

Humans have the capacity to persist in behavioural policies, even in challenging
environments that lack immediate reward. Our persistence is the scaffold on which many …

While animal and human decision strategies are typically explained by model-free and
model-based reinforcement learning (RL), their choice sequences often follow simple …

Foraging theory has been a remarkably successful approach to understanding the behavior
of animals in many contexts. In patch-based foraging contexts, the marginal value theorem …

Natural environments often exhibit various degrees of volatility, ranging from slowly
changing to rapidly changing contingencies. How learners adapt to changing environments …

Natural environments are abundant with patterns and regularities. These regularities can be
captured through statistical learning, which strongly influences perception, memory, and …

The ability to decipher the intentions of other agents and to mentalize how one's own choice
might influence others' behavior is essential for social interaction, especially when these …

The ability to decipher the intentions of other agents and to mentalize how one's own choice
might influence others' behavior is essential for social interaction, especially when these …

One of the main difficulties to understand others stems from the inaccessibility to their minds:
their goals, beliefs, desires are often inferred from their behavior. The set of cognitive …