Results 1 to 10 of about 5,838,575 (157)

Embodied decisions as active inference. [PDF]

PLoS Computational Biology
Decision-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, Ivilin Peev Stoianov, Giovanni Pezzulo   +2 more
doaj   +4 more sources

Shared Protentions in Multi-Agent Active Inference [PDF]

Entropy
In this paper, we unite concepts from Husserlian phenomenology, the active inference framework in theoretical biology, and category theory in mathematics to develop a comprehensive framework for understanding social action premised on shared goals.
Mahault Albarracin, Riddhi J. Pitliya, Toby St. Clere Smithe, Daniel Ari Friedman, Karl Friston, Maxwell J. D. Ramstead   +5 more
doaj   +3 more sources

From pixels to planning: scale-free active inference [PDF]

Frontiers in Network Physiology
This paper describes a discrete state-space model and accompanying methods for generative modeling. This model generalizes partially observed Markov decision processes to include paths as latent variables, rendering it suitable for active inference and ...
Karl Friston, Karl Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Dimitrije Markovic, Alexander Tschantz, Magnus Koudahl, Christopher Buckley, Christopher Buckley, Thomas Parr   +13 more
doaj   +3 more sources

Intermittent Active Inference [PDF]

Entropy
Active inference provides a unified framework for perception and action as processes of minimizing prediction error given a generative model of the environment.
Markus Klar, Sebastian Stein, Fraser Paterson, John H. Williamson, Henrik Gollee, Roderick Murray-Smith   +5 more
doaj   +2 more sources

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, Anil K Seth, Christopher L Buckley   +2 more
doaj   +2 more sources

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, Tamara Shiner, Thomas FitzGerald, Joseph M Galea, Rick Adams, Harriet Brown, Raymond J Dolan, Rosalyn Moran, Klaas Enno Stephan, Sven Bestmann   +9 more
doaj   +8 more sources

Decision, Inference, and Information: Formal Equivalences Under Active Inference [PDF]

Entropy
A 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, Jaime Ruiz-Serra, Michael S. Harré   +2 more
doaj   +2 more sources

The role of active inference in conscious awareness. [PDF]

PLoS ONE
Active 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, Andrew W Corcoran, Christopher J Whyte, András Sárközy, Anil K Seth, Gyula Kovács, Karl J Friston, Cyriel M A Pennartz, Giulio Tononi, Jakob Hohwy, TWCF: INTREPID Consortium   +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, Bert de Vries, Karl J. Friston   +2 more
doaj   +4 more sources

Narrative as active inference: an integrative account of cognitive and social functions in adaptation. [PDF]

Front Psychol
While the ubiquity and importance of narratives for human adaptation is widely recognized, there is no integrative framework for understanding the roles of narrative in human adaptation.
Bouizegarene N, Ramstead MJD, Constant A, Friston KJ, Kirmayer LJ.   +4 more
europepmc   +2 more sources