Category: Resources

This commentary addresses a technical analysis of the Free Energy Principle by Aguilera et al., challenging the claim that sparse coupling ensures Mar…

The author critiques a recent paper on the free energy principle (FEP) by Aguilera et al., arguing their points on its limitations are valid but not d…

The article discusses the Free Energy Principle (FEP) as a unified model for understanding adaptive behaviors in complex systems, extending beyond the…

This paper presents a probabilistic generative model for morphisms in free monoidal categories, linking applied category theory and machine learning. …

The paper formulates Bayesian mechanics via axiomatic principles, arguing that constrained dynamical systems infer against these constraints, implying…

The article discusses a novel approach to object recognition and representation learning, emphasizing the importance of interactive learning, akin to …

The paper discusses how stress induces physiological changes that lead to a loss of predictive confidence, resulting in depression. It uses the active…

Active inference presents a cohesive theory of perception, learning, and decision-making. The authors address concerns about its compatibility with fo…

The paper explores the dynamics of information spread and confirmation bias within epistemic communities using an active inference model. It reveals h…

This paper introduces a generative modelling approach to neurophenomenology, merging computational neuroscience with phenomenological philosophy. It r…