Reinforcement learning (RL) is a framework of particular importance to psychology,
neuroscience and machine learning. Interactions between these fields, as promoted through …

An organism's survival depends on its ability to learn about its environment and to make
adaptive decisions in the service of achieving the best possible outcomes in that …

How do humans search for rewards? This question is commonly studied using multi-armed
bandit tasks, which require participants to trade off exploration and exploitation. Standard …

What determines the speed of our decisions? Various models of decision-making have
focused on perceptual evidence, past experience, and task complexity as important factors …

Using educational robots (ERs) to integrate computational thinking (CT) with cross-
disciplinary content has gone beyond Science, Technology, Engineering, and Mathematics …

Prior evidence suggests that increasingly efficient task performance in human learning is
associated with large scale brain network dynamics. However, the specific nature of this …

Background and aims Experiencing acute stress is common in behavioral addictions such
as gambling disorder. Additionally, like most substance-induced addictions, aberrant …

Binding between representations of stimuli and actions and later retrieval of these
compounds provide efficient shortcuts in action control. Recent observations indicate that …

Humans are inherently social beings that benefit from their perceptional capability to
embody another point of view, typically referred to as perspective taking. Perspective taking …

Background: Early childhood is seen as a critical period for developing psychological
resilience, which is important for the development of young children's mental and physical …