Brains, it has recently been argued, are essentially prediction machines. They are bundles of cells that support perception and action by constantly attempting to match incoming sensory inputs with top-down expectations or predictions. This is achieved using a hierarchical generative model that aims to minimize prediction error within a bidirectional cascade of cortical processing. Such accounts offer a unifying model of perception and action, illuminate the functional role of attention, and may neatly capture the special contribution of cortical processing to (...) adaptive success. This target article critically examines this approach, concluding that it offers the best clue yet to the shape of a unified science of mind and action. Sections 1 and 2 lay out the key elements and implications of the approach. Section 3 explores a variety of pitfalls and challenges, spanning the evidential, the methodological, and the more properly conceptual. The paper ends (sections 4 and 5) by asking how such approaches might impact our more general vision of mind, experience, and agency. (shrink)

This is the Editorial of the Research Topic (Special Issue) in Frontiers in Psychology and Frontiers in Neurorobotics: Intrinsic motivations and open-ended development in animals, humans, and robots.

The ways human behavior is conceptualized need to be refined. Major stumbling blocks have been the reification of verbal descriptions of behavior and the construction of ill-defined clusters of dissimilar problems. The effect of behavior-modifying drugs can be completely dependent on situational details. Behavior is a complex product of many interacting factors and cannot be rigorously predictable as the same behavior may be arrived at in different ways. Thus similar-looking behaviors can be functionally different and conversely different-looking behaviors can be (...) functionally identical. More answerable questions about behavior need to be formulated. (shrink)