161 citations · 645 across the 28 of their papers we have counts for
9 papers · 1 filter
A free energy principle for generic quantum systems
Chris Fields, Karl Friston, James F. Glazebrook +1
The Free Energy Principle (FEP) states that under suitable conditions of weak coupling, random dynamical systems with sufficient degrees of freedom will behave so as to minimize an…
Insula Interoception, Active Inference and Feeling Representation
Alan S. R. Fermin, Karl Friston, Shigeto Yamawaki
The body sends interoceptive visceral information through deep brain structures to the cerebral cortex. The insula cortex, organized in hierarchical modules, is the major cortical…
Active inference, Bayesian optimal design, and expected utility
Noor Sajid, Lancelot Da Costa, Thomas Parr +1
Active inference, a corollary of the free energy principle, is a formal way of describing the behavior of certain kinds of random dynamical systems that have the appearance of sent…
Exploration and preference satisfaction trade-off in reward-free learning
Noor Sajid, Panagiotis Tigas, Alexey Zakharov +2
Biological agents have meaningful interactions with their environment despite the absence of immediate reward signals. In such instances, the agent can learn preferred modes of beh…
Bayesian brains and the Rényi divergence
Noor Sajid, Francesco Faccio, Lancelot Da Costa +3
Under the Bayesian brain hypothesis, behavioural variations can be attributed to different priors over generative model parameters. This provides a formal explanation for why indiv…
Bayesian Mechanics for Stationary Processes
Lancelot Da Costa, Karl Friston, Conor Heins +1
This paper develops a Bayesian mechanics for adaptive systems. Firstly, we model the interface between a system and its environment with a Markov blanket. This affords conditions u…