About: Free energy principle

Facets (new session)
Description
Metadata
Settings
- Rule:
- Inverse Functional Properties:
- "Same As":

About: Free energy principle Goto Sponge NotDistinct Permalink

An Entity of Type : yago:WikicatSystems, within Data Space : dbpedia.demo.openlinksw.com associated with source document(s)
QRcode icon

http://dbpedia.demo.openlinksw.com/describe/?url=http%3A%2F%2Fdbpedia.org%2Fresource%2FFree_energy_principle

The free energy principle is a mathematical principle in biophysics and cognitive science that provides a formal account of the representational capacities of physical systems: that is, why things that exist look as if they track properties of the systems to which they are coupled. It establishes that the dynamics of physical systems minimise a quantity known as surprisal (which is just the negative log probability of some outcome); or equivalently, its variational upper bound, called free energy. The principle is formally related to variational Bayesian methods and was originally introduced by Karl Friston as an explanation for embodied perception-action loops in neuroscience, where it is also known as active inference.

Attributes	Values
rdf:type	yago:Artifact100021939 yago:Instrumentality103575240 yago:Object100002684 yago:PhysicalEntity100001930 yago:System104377057 yago:Whole100003553 yago:WikicatSystems
rdfs:label	Free energy principle (en) Principe de l'énergie libre (fr) Princípio da energia livre (pt)
rdfs:comment	The free energy principle is a mathematical principle in biophysics and cognitive science that provides a formal account of the representational capacities of physical systems: that is, why things that exist look as if they track properties of the systems to which they are coupled. It establishes that the dynamics of physical systems minimise a quantity known as surprisal (which is just the negative log probability of some outcome); or equivalently, its variational upper bound, called free energy. The principle is formally related to variational Bayesian methods and was originally introduced by Karl Friston as an explanation for embodied perception-action loops in neuroscience, where it is also known as active inference. (en) Le principe d'énergie libre est un cadre utilisé pour décrire comment le cerveau prend des décisions et s'adapte à des circonstances changeantes. Il repose sur l'idée que le cerveau essaie constamment de minimiser son énergie libre, qui est une mesure de la surprise que le cerveau ressent face aux informations sensorielles qu'il reçoit. (fr) O princípio da energia livre é uma declaração formal que explica como os sistemas vivos e não vivos permanecem em estados estacionários de não equilíbrio, restringindo-se a um número limitado de estados. Estabelece que os sistemas minimizam uma função de energia livre de seus estados internos (não deve ser confundida com energia livre termodinâmica), o que implica crenças sobre estados ocultos em seu ambiente. A minimização implícita da energia livre está formalmente relacionada aos métodos variacionais Bayesianos e foi originalmente introduzida por Karl Friston como uma explicação para a percepção incorporada na neurociência, onde também é conhecida como inferência ativa. (pt)
foaf:depiction
dcterms:subject	Computational neuroscience Systems theory Mathematical and theoretical biology Biological systems
Wikipage page ID	39403556 (xsd:integer)
Wikipage revision ID	1124746214 (xsd:integer)
Link from a Wikipage to another Wikipage	Calculus Calculus of variations Bayesian inference Bellman equation Predictive coding Principle Principle of least action Partially observable Markov decision process Bayes' theorem Approximate Bayesian computation Joint probability distribution Perception Cybernetics Degrees of freedom problem Inference engine Information content Mental disorder Generalized filtering Principle of minimum energy Cognitive neuroscience Generative model Model selection Mutual information Optimal decision Embodied cognition Hamilton's principle Helmholtz decomposition Helmholtz free energy Self-assembly Pattern formation Synaptic plasticity Autopoiesis Computational neuroscience Systems theory Hebbian theory Ergodic theory Falsifiability Fluctuation theorem Energy function Kalman filter Kolmogorov equations Probability density function Variational free energy Posterior probability Good Regulator Hermann von Helmholtz Marginal likelihood Artificial intelligence Mathematical and theoretical biology Biological systems Synergetics (Haken) dbr:Dopamine Marginal distribution Maximum entropy principle Kullback–Leibler divergence Optimal control Second law of thermodynamics Self-organisation Markov blanket Sense Utility Variational Bayesian methods Neuroscience Unconscious inference Occam's razor Karl Friston Random dynamical system Self-information Bayesian brain Practopoiesis Surprisal
Link from a Wikipage to an external page	http://journals.cambridge.org/action/displayAbstract%3FfromPage=online&aid=8918803
sameAs	Free energy principle Free energy principle Free energy principle Free energy principle Free energy principle

Faceted Search & Find service v1.17_git139 as of Feb 29 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 08.03.3330 as of Mar 19 2024, on Linux (x86_64-generic-linux-glibc212), Single-Server Edition (378 GB total memory, 57 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software