Biological agents can act in ways that express a sensitivity to context-dependent relevance.
So far it has proven difficult to engineer this capacity for context-dependent sensitivity to …

The segregation of neural processing into distinct streams has been interpreted by some as
evidence in favour of a modular view of brain function. This implies a set of specialised …

When agents interact socially with different intentions (or wills), conflicts are difficult to avoid.
Although the means by which social agents can resolve such problems autonomously has …

The free energy principle is a formal theory of adaptive self-organising systems that
emerged from statistical thermodynamics, machine learning and theoretical neuroscience …

Modularity assumption is central to most theoretical and empirical approaches in cognitive
science. The Bayesian Brain (BB) models are a class of neuro-computational models that …

While the sensorimotor cortices are central neural substrates for motor control and learning,
how the interaction between their subregions with visual cortices contributes to acquiring de …