Commentary: The Nature of Beliefs and Believing
The editorial discusses belief in cognitive science, particularly through the lens of computational neuroscience, defining beliefs as representations …
Author: Denise Holt
Sparse coupling and Markov blankets: A comment on” How particular is the physics of the Free Energy Principle?” by Aguilera, Millidge, Tschantz and Buckley
This commentary addresses a technical analysis of the Free Energy Principle by Aguilera et al., challenging the claim that sparse coupling ensures Mar…
Regarding Flows Under the Free Energy Principle: A Comment on” How Particular is the Physics of the Free Energy Principle?” by Aguilera, Millidge, Tschantz, and Buckley
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…
Applying the Free Energy Principle to Complex Adaptive Systems
The article discusses the Free Energy Principle (FEP) as a unified model for understanding adaptive behaviors in complex systems, extending beyond the…
A Probabilistic Generative Model of Free Categories
This paper presents a probabilistic generative model for morphisms in free monoidal categories, linking applied category theory and machine learning. …
Towards a geometry and analysis for Bayesian mechanics
The paper formulates Bayesian mechanics via axiomatic principles, arguing that constrained dynamical systems infer against these constraints, implying…
Embodied object representation learning and recognition
The article discusses a novel approach to object recognition and representation learning, emphasizing the importance of interactive learning, akin to …
Stress and its sequelae: An active inference account of the etiological pathway from allostatic overload to depression
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 models do not contradict folk psychology
Active inference presents a cohesive theory of perception, learning, and decision-making. The authors address concerns about its compatibility with fo…
Epistemic communities under active inference
The paper explores the dynamics of information spread and confirmation bias within epistemic communities using an active inference model. It reveals h…