Search Results for author: Magnus Koudahl

Found 8 papers, 3 papers with code

Active Inference and Intentional Behaviour

no code implementations6 Dec 2023 Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex Kiefer, Tim Verbelen, Magnus Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead

First, we simulate the aforementioned in vitro experiments, in which neuronal cultures spontaneously learn to play Pong, by implementing nested, free energy minimising processes.

Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language

no code implementations13 Jun 2023 Magnus Koudahl, Thijs van de Laar, Bert de Vries

Active Inference (AIF) is a corollary of the FEP that specifically details how systems that are able to plan for the future (agents) function by minimising particular free energy functionals that incorporate information seeking components.

Variational Inference

Realising Synthetic Active Inference Agents, Part II: Variational Message Updates

1 code implementation5 Jun 2023 Thijs van de Laar, Magnus Koudahl, Bert de Vries

The Free Energy Principle (FEP) describes (biological) agents as minimising a variational Free Energy (FE) with respect to a generative model of their environment.

Variational message passing for online polynomial NARMAX identification

1 code implementation2 Apr 2022 Wouter Kouw, Albert Podusenko, Magnus Koudahl, Maarten Schoukens

We propose a variational Bayesian inference procedure for online nonlinear system identification.

Bayesian Inference

AIDA: An Active Inference-based Design Agent for Audio Processing Algorithms

1 code implementation26 Dec 2021 Albert Podusenko, Bart van Erp, Magnus Koudahl, Bert de Vries

AIDA interprets searching for the "most interesting alternative" as an issue of optimal (acoustic) context-aware Bayesian trial design.

Active Inference and Epistemic Value in Graphical Models

no code implementations1 Sep 2021 Thijs van de Laar, Magnus Koudahl, Bart van Erp, Bert de Vries

The AIF literature describes multiple VFE objectives for policy planning that lead to epistemic (information-seeking) behavior.

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