7 papers · 1 filter
Renormalising Generative Models for Active Inference: Foundations, Derivations, and Verification
Karim Zaghw, Andrew Pashea, Marc Pritsch +3
Active inference offers a unified framework for perception, learning, and action, but scaling discrete active-inference models to rich spatial and temporal domains remains difficul…
Sophisticated Policies from Epistemic Priors
Wouter W. L. Nuijten, Bert de Vries
Sophisticated Inference is a variant of active inference often associated with recursive belief modeling and tree search. We argue that its central computational role is simpler: w…
What Type of Inference is Active Inference?
Wouter W. L. Nuijten, Mykola Lukashchuk, Thijs van de Laar +1
Active inference casts decision-making as inference, with the Expected Free Energy (EFE) unifying goal-directed and information-seeking behavior. Recent work showed that EFE minimi…
Expected Free Energy-based Planning as Variational Inference
Wouter W. L. Nuijten, Thijs van de Laar, Bert de Vries
Planning under uncertainty requires agents to balance goal achievement with information gathering. Active inference addresses this through the Expected Free Energy (EFE), a cost fu…
A Message Passing Realization of Expected Free Energy Minimization
Wouter W. L. Nuijten, Mykola Lukashchuk, Thijs van de Laar +1
We present a message passing approach to Expected Free Energy (EFE) minimization on factor graphs, based on the theory introduced in arXiv:2504.14898. By reformulating EFE minimiza…
Message passing-based inference in an autoregressive active inference agent
Wouter M. Kouw, Tim N. Nisslbeck, Wouter L. N. Nuijten
We present the design of an autoregressive active inference agent in the form of message passing on a factor graph. Expected free energy is derived and distributed across a plannin…