Researchers are defining new types of interactions between humans and machine learning
algorithms generically called human-in-the-loop machine learning. Depending on who is in …

In humans and other gregarious animals, collective decision-making is a robust behavioural
feature of groups. Pooling individual information is also fundamental for modern societies, in …

The first comprehensive treatment of active inference, an integrative perspective on brain,
cognition, and behavior used across multiple disciplines. Active inference is a way of …

The last ten years of attention research have witnessed a revolution, replacing a theoretical
dichotomy (top-down vs. bottom-up control) with a trichotomy (biased by current goals …

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

This article proposes that biologically plausible theories of behavior can be constructed by
following a method of “phylogenetic refinement,” whereby they are progressively elaborated …

Explore-exploit decisions require us to trade off the benefits of exploring unknown options to
learn more about them, with exploiting known options, for immediate reward. Such decisions …

One of the most salient features of life is its capacity to handle novelty and namely to thrive
and adapt to new circumstances and changes in both the environment and internal …

Cognitive aging is often described in the context of loss or decline. Emerging research
suggests that the story is more complex, with older adults showing both losses and gains in …

Childhood adversity can have wide-ranging and long-lasting effects on later life. But what
are the mechanisms that are responsible for these effects? This article brings together the …