Previous attempts to identify a unified theory of brain serotonin function have largely failed to
achieve consensus. In this present synthesis, we integrate previous perspectives with new …

Research on predictive processing models has focused largely on two specific algorithmic
theories: Predictive Coding for perception and Active Inference for decision-making. While …

The active inference framework, and in particular its recent formulation as a partially
observable Markov decision process (POMDP), has gained increasing popularity in recent …

This article describes a process theory based on active inference and belief propagation.
Starting from the premise that all neuronal processing (and action selection) can be …

How is it that thoroughly physical material beings such as ourselves can think, dream, feel,
create and understand ideas, theories and concepts? How does mere matter give rise to all …

The positive-negative axis of emotional valence has long been recognized as fundamental
to adaptive behavior, but its origin and underlying function have largely eluded formal …

This article offers a formal account of curiosity and insight in terms of active (Bayesian)
inference. It deals with the dual problem of inferring states of the world and learning its …

This paper offers an active inference account of choice behaviour and learning. It focuses on
the distinction between goal-directed and habitual behaviour and how they contextualise …

Active inference is a normative principle underwriting perception, action, planning, decision-
making and learning in biological or artificial agents. From its inception, its associated …

Motivated control refers to the coordination of behaviour to achieve affectively valenced
outcomes or goals. The study of motivated control traditionally assumes a distinction …