Results 1 to 10 of about 649,550 (269)
Dopamine, affordance and active inference. [PDF]
PLoS Computational Biology, 2012 The role of dopamine in behaviour and decision-making is often cast in terms of reinforcement learning and optimal decision theory. Here, we present an alternative view that frames the physiology of dopamine in terms of Bayes-optimal behaviour.
Karl J Friston +9 more
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Embodied decisions as active inference. [PDF]
PLoS Computational BiologyDecision-making is often conceptualized as a serial process, during which sensory evidence is accumulated for the choice alternatives until a certain threshold is reached, at which point a decision is made and an action is executed.
Matteo Priorelli +2 more
doaj +5 more sources
Intermittent Active Inference [PDF]
EntropyActive inference provides a unified framework for perception and action as processes of minimizing prediction error given a generative model of the environment.
Markus Klar +5 more
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Learning action-oriented models through active inference. [PDF]
PLoS Computational Biology, 2020 Converging theories suggest that organisms learn and exploit probabilistic models of their environment. However, it remains unclear how such models can be learned in practice.
Alexander Tschantz +2 more
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Decision, Inference, and Information: Formal Equivalences Under Active Inference [PDF]
EntropyA central challenge in artificial intelligence and cognitive science is identifying a unifying principle that governs inference, learning, and action. Active inference proposes such a principle: the minimization of variational free energy.
Patrick Sweeney +2 more
doaj +2 more sources
The role of active inference in conscious awareness. [PDF]
PLoS ONEActive inference, a first-principles framework for modelling the behaviour of sentient agents, is beginning to be applied in consciousness research. One hypothesis arising from the framework is that active inference is necessary for changes in conscious ...
Jonathan Edward Robinson +10 more
doaj +2 more sources
A Factor Graph Description of Deep Temporal Active Inference [PDF]
Frontiers in Computational Neuroscience, 2017 Active inference is a corollary of the Free Energy Principle that prescribes how self-organizing biological agents interact with their environment. The study of active inference processes relies on the definition of a generative probabilistic model and a
Bert de Vries +2 more
doaj +4 more sources
Active inference, morphogenesis, and computational psychiatry
Frontiers in Computational Neuroscience, 2022 Active inference is a leading theory in neuroscience that provides a simple and neuro-biologically plausible account of how action and perception are coupled in producing (Bayes) optimal behavior; and has been recently used to explain a variety of ...
Léo Pio-Lopez +5 more
doaj +3 more sources
The Markov blankets of life: autonomy, active inference and the free energy principle [PDF]
Journal of the Royal Society Interface, 2018 This work addresses the autonomous organization of biological systems. It does so by considering the boundaries of biological systems, from individual cells to Home sapiens, in terms of the presence of Markov blankets under the active inference scheme—a ...
Michael D Kirchhoff +2 more
exaly +3 more sources
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
Frontiers in Neurorobotics, 2018 Active inference is an ambitious theory that treats perception, inference, and action selection of autonomous agents under the heading of a single principle.
Martin Biehl +6 more
doaj +3 more sources