Introducing <tt>ActiveInference.jl</tt>: A Julia Library for Simulation and Parameter Estimation with Active Inference Models

Introducing <tt>ActiveInference.jl</tt>: A Julia Library for Simulation and Parameter Estimation with Active Inference Models

We introduce a new software package for the Julia programming language, the library ActiveInference.jl. To make active inference agents with Partially Observable Markov Decision Process (POMDP) generative models available to the growing research community using Julia, we re-implemented the pymdp lib...

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Bibliographic Details
Main Authors: Samuel William Nehrer, Jonathan Ehrenreich Laursen, Conor Heins, Karl Friston, Christoph Mathys, Peter Thestrup Waade
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Entropy
Subjects:
active inference
free energy principle
predictive processing
Markov decision process
cognitive modelling
Julia
Online Access:https://www.mdpi.com/1099-4300/27/1/62
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