Results 81 to 90 of about 5,838,744 (309)

Uncertainty, epistemics and active inference [PDF]

Journal of The Royal Society Interface, 2017
Biological systems—like ourselves—are constantly faced with uncertainty. Despite noisy sensory data, and volatile environments, creatures appear to actively maintain their integrity. To account for this remarkable ability to make optimal decisions in the face of a capricious world, we propose a generative model that represents the beliefs ...
Thomas Parr, Karl J. Friston
openaire   +3 more sources

Generative models for sequential dynamics in active inference

Cognitive Neurodynamics, 2023
A central theme of theoretical neurobiology is that most of our cognitive operations require processing of discrete sequences of items. This processing in turn emerges from continuous neuronal dynamics.
Thomas Parr, K. Friston, G. Pezzulo
semanticscholar   +1 more source

Modelling of a Flexible Manoeuvring System Using ANFIS Techniques [PDF]

, 2010
The increased utilization of flexible structure systems, such as flexible manipulators and flexible aircraft in various applications, has been motivated by the requirements of industrial automation in recent years.
Bin Zaidan, Martha Arbayani, Omar, Muneer, Tokhi, M.O.   +2 more
core   +1 more source

Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network [PDF]

, 2020
It is crucial to ask how agents can achieve goals by generating action plans using only partial models of the world acquired through habituated sensory-motor experiences.
Matsumoto, Takazumi, Tani, Jun
core   +3 more sources

Action understanding and active inference [PDF]

Biological Cybernetics, 2011
We have suggested that the mirror-neuron system might be usefully understood as implementing Bayes-optimal perception of actions emitted by oneself or others. To substantiate this claim, we present neuronal simulations that show the same representations can prescribe motor behavior and encode motor intentions during action-observation.
Friston, Karl, Mattout, Jérémie, Kilner, James   +2 more
openaire   +3 more sources

Sustainability under Active Inference

Systems
In this paper, we explore the known connection among sustainability, resilience, and well-being within the framework of active inference. Initially, we revisit how the notions of well-being and resilience intersect within active inference before defining
Mahault Albarracin, Maxwell Ramstead, Riddhi J. Pitliya, Ines Hipolito, Lancelot Da Costa, Maria Raffa, Axel Constant, Sarah Grace Manski   +7 more
doaj   +1 more source

Towards a computational phenomenology of mental action: modelling meta-awareness and attentional control with deep parametric active inference

Neuroscience of Consciousness, 2021
Meta-awareness refers to the capacity to explicitly notice the current content of consciousness and has been identified as a key component for the successful control of cognitive states, such as the deliberate direction of attention.
L. Sandved-Smith, C. Hesp, J. Mattout, K. Friston, A. Lutz, M. Ramstead   +5 more
semanticscholar   +1 more source

Active inference as a theory of sentient behavior.

Biological Psychology
This review paper offers an overview of the history and future of active inference-a unifying perspective on action and perception. Active inference is based upon the idea that sentient behavior depends upon our brains' implicit use of internal models to
Giovanni Pezzulo, Thomas Parr, Karl J. Friston   +2 more
semanticscholar   +1 more source

Patient Activation in Childhood, Adolescent, and Young Adult Cancer Survivors: Current Insights and Implications for Survivorship Care—A Systematic Review From the e‐QuoL Project

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Patient activation—encompassing knowledge, confidence, and skills in managing individual's health—is a cornerstone of person‐centered care. However, its significance among childhood, adolescent, and young adult cancer survivors (CAYACS) remains unexplored. This article examines the application of the 13‐item Patient Activation Measure (
Charlotte Demoor‐Goldschmidt, Anne Maas, Gisela Michel, Amandine Bertrand, Kristen E. T. Thornton, Martine Bellanger, Anna‐Liesa Filbert, Desiree Grabow, Monica Muraca, Katharina Roser, Sara Oberti, Jelena Roganovic, Hanne Cathrine Lie   +12 more
wiley   +1 more source

Dopamine, reward learning, and active inference

Frontiers in Computational Neuroscience, 2015
Temporal difference learning models propose phasic dopamine signalling encodes reward prediction errors that drive learning. This is supported by studies where optogenetic stimulation of dopamine neurons can stand in lieu of actual reward.
Thomas eFitzgerald, Ray eDolan, Ray eDolan, Karl eFriston   +3 more
doaj   +1 more source