Jan 30, 2023 · Active inference (AIF) is a Bayesian computational framework that brings together perception and action under one single imperative: minimizing ...
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Nov 16, 2022 · The active inference framework (AIF) is a promising new computational framework grounded in contemporary neuroscience that can produce human-like behavior ...
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Official implementation of paper "A neural active inference model of perceptual-motor learning" published on Computational Neuroscience in 2023.
The active inference framework (AIF) is a promising new computational framework grounded in contemporary neuroscience that can produce human-like behavior ...
The active inference framework (AIF) is a promising new computational framework grounded in contemporary neuroscience that can produce human-like behavior ...
Nov 2, 2023 · Frontiers in Computational Neuroscience, 2023. 2022. A Neural Active Inference Model of Perceptual-Motor Learning. Zhizhuo Yang, Gabriel J Diaz ...
We advance a novel active inference model of the cognitive processing that underlies the acquisition of a hierarchical action repertoire and its use for ...
In brief, active inference separates the problems of optimising action and perception by assuming that action fulfils predictions based upon perceptual ...
In this paper we offer a step-by-step tutorial on how to build POMDPs, run simulations using standard MATLAB routines, and fit these models to empirical data.
The very fact that you are reading these lines means that you are engaging in Active. Inference— namely, actively sampling the world—in a par tic u lar way—.