Results 21 to 30 of about 4,744,312 (322)
Contextual perception under active inference [PDF]
Scientific Reports, 2021 Human social interactions depend on the ability to resolve uncertainty about the mental states of others. The context in which social interactions take place is crucial for mental state attribution as sensory inputs may be perceived differently depending
M. Berk Mirza +4 more
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Feeling our place in the world: an active inference account of self-esteem. [PDF]
Neurosci ConsciousSelf-esteem, the evaluation of one’s own worth or value, is a critical aspect of psychological well-being and mental health. In this paper, we propose an active inference account of self-esteem, casting it as a sociometer or an inferential capacity to ...
Albarracin M +5 more
europepmc +2 more sources
The neural correlates of novelty and variability in human decision-making under an active inference framework [PDF]
eLifeActive inference integrates perception, decision-making, and learning into a united theoretical framework, providing an efficient way to trade off exploration and exploitation by minimizing (expected) free energy.
Shuo Zhang +3 more
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Dynamic planning in hierarchical active inference [PDF]
Neural NetworksBy dynamic planning, we refer to the ability of the human brain to infer and impose motor trajectories related to cognitive decisions. A recent paradigm, active inference, brings fundamental insights into the adaptation of biological organisms ...
Matteo Priorelli, Ivilin Peev Stoianov
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An active inference account of stuttering behavior [PDF]
Frontiers in Human NeuroscienceThis paper presents an interpretation of stuttering behavior, based on the principles of the active inference framework. Stuttering is a neurodevelopmental disorder characterized by speech disfluencies such as repetitions, prolongations, and blocks.
Evan Usler
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How Active Inference Could Help Revolutionise Robotics
Entropy, 2022 Recent advances in neuroscience have characterised brain function using mathematical formalisms and first principles that may be usefully applied elsewhere.
Lancelot Da Costa +4 more
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Reinforcement learning or active inference?
PLoS ONE, 2009 This paper questions the need for reinforcement learning or control theory when optimising behaviour. We show that it is fairly simple to teach an agent complicated and adaptive behaviours using a free-energy formulation of perception.
Karl J Friston +2 more
doaj +7 more sources
Conscious active inference I: A quantum model naturally implements the path integral needed for real-time planning and control [PDF]
Computational and Structural Biotechnology JournalActive inference is a general framework for optimizing the behavior and learning of a sentient agential system. It may be interpreted as a general theory of sentient behavior and has been used to quantitatively model a wide variety of perceptual and ...
Michael C. Wiest, Arjan Singh Puniani
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As One and Many: Relating Individual and Emergent Group-Level Generative Models in Active Inference [PDF]
EntropyActive inference under the Free Energy Principle has been proposed as an across-scales compatible framework for understanding and modelling behaviour and self-maintenance.
Peter Thestrup Waade +6 more
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Active Inference: A Process Theory [PDF]
Neural Computation, 2017 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 explained by maximizing Bayesian model evidence—or minimizing variational free energy—we ask whether neuronal responses can be described as a gradient descent on variational free
Karl J. Friston +4 more
semanticscholar +11 more sources