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In their target paper, Bruineberg and colleagues provide us with a timely opportunity to discuss the formal constructs and philosophical implications of the free-energy principle. I critically discuss their proposed distinction between…

神经元与认知 · 定量生物学 2022-01-05 Maxwell J. D. Ramstead

We summarize the original formulation of the free energy principle, and highlight some technical issues. We discuss how these issues affect related results involving generalised coordinates and, where appropriate, mention consequences for…

神经元与认知 · 定量生物学 2021-03-02 Martin Biehl , Felix A. Pollock , Ryota Kanai

This paper presents a continuous, information-theoretic extension of the Free Energy Principle through the concept of Markov blanket density, i.e., a scalar field that quantifies the degree of conditional independence between internal and…

神经元与认知 · 定量生物学 2025-08-12 Luca M. Possati

Biehl et al (2020) present some interesting observations on an early formulation of the free energy principle in (Friston, 2013). We use these observations to scaffold a discussion of the technical arguments that underwrite the free energy…

神经元与认知 · 定量生物学 2021-09-01 Karl Friston , Lancelot Da Costa , Thomas Parr

This monograph attempts a theory of every 'thing' that can be distinguished from other things in a statistical sense. The ensuing statistical independencies, mediated by Markov blankets, speak to a recursive composition of ensembles (of…

神经元与认知 · 定量生物学 2019-06-26 Karl Friston

In this comment on "The Markov blanket trick: On the scope of the free energy principle and active inference" by Raja and colleagues (2021) in Physics of Life Reviews, I argue that the argument presented by the authors is valid; however, I…

神经元与认知 · 定量生物学 2022-11-30 Maxwell J. D Ramstead

What can we hope to learn about brains from the free energy principle? In adopting the "primordial soup" physical model, Bruineberg et al. perpetuate the unsupported notion that the free energy principle has a meaningful physical--and…

神经元与认知 · 定量生物学 2022-01-14 Donald Spector , Daniel Graham

The aim of this paper is twofold: (1) to assess whether the construct of neural representations plays an explanatory role under the variational free-energy principle and its corollary process theory, active inference; and (2) if so, to…

神经元与认知 · 定量生物学 2023-07-19 Maxwell Ramstead , Karl Friston , Ines Hipolito

One area of physics education research has focused on the nature of ontologies (mental categorizations of concepts, substances and processes), and how they might be used to gain insight into student thinking when learning classical physics.…

物理教育 · 物理学 2014-10-01 Charles Baily , Noah D. Finkelstein

Bayesian theories of biological and brain function speculate that Markov blankets (a conditional independence separating a system from external states) play a key role for facilitating inference-like behaviour in living systems. Although it…

神经元与认知 · 定量生物学 2022-07-27 Miguel Aguilera , Ángel Poc-López , Conor Heins , Christopher L. Buckley

Energy is an abstract science concept, so the ways that we think and talk about energy rely heavily on ontological metaphors: metaphors for what kind of thing energy is. Two commonly used ontological metaphors for energy are energy as a…

物理教育 · 物理学 2014-12-08 Benjamin W. Dreyfus , Ayush Gupta , Edward F. Redish

The aim of this paper is to leverage the free-energy principle and its corollary process theory, active inference, to develop a generic, generalizable model of the representational capacities of living creatures; that is, a theory of…

神经元与认知 · 定量生物学 2020-12-02 Maxwell J. D. Ramstead , Casper Hesp , Alec Tschantz , Ryan Smith , Axel Constant , Karl Friston

Recently, it has been argued that no extension of quantum theory can have improved predictive power under a strong assumption of free choice of the experimental settings and validity of quantum mechanics. Here, under a different free choice…

量子物理 · 物理学 2013-04-29 GianCarlo Ghirardi , Raffaele Romano

In this introductory note, I describe my particular view of the notion of ontological commitments as honest and pragmatic working hypotheses that assume the existence (out there) of certain entities represented by the symbols in our theory.…

物理学史与哲学 · 物理学 2014-01-15 Pablo Echenique-Robba

Recent characterisations of self-organising systems depend upon the presence of a Markov blanket: a statistical boundary that mediates the interactions between what is inside of and outside of a system. We leverage this idea to provide an…

神经元与认知 · 定量生物学 2020-06-05 Ines Hipolito , Maxwell Ramstead , Laura Convertino , Anjali Bhat , Karl Friston , Thomas Parr

Modern data systems must support accountability across persistent legal, political, and analytic disagreement. This requirement imposes strict constraints on the design of any ontology intended to function as a shared substrate. We…

人工智能 · 计算机科学 2026-01-22 Denise M. Case

Wright and Bourkes compelling article rightly points out that existing models of embryogenesis fail to explain the mechanisms and functional significance of the dynamic connections among neurons. We pursue their account of Dynamic Logic by…

神经元与认知 · 定量生物学 2020-07-31 Ines Hipolito , Maxwell Ramstead , Axel Constant , Karl Friston

Studying the extent to which realism is compatible with quantum mechanics teaches us something about the quantum mechanical universe, regardless of the validity of such realistic assumptions. It has also recently been appreciated that these…

量子物理 · 物理学 2007-09-28 Nicholas Harrigan , Terry Rudolph

In this commentary, we respond to a technical analysis of the Free Energy Principle (hereafter: FEP) presented in "How particular is the physics of the Free Energy Principle" by Aguilera et al. In the target article, the authors analyzed…

统计力学 · 物理学 2022-07-13 Conor Heins , Lancelot Da Costa

It is shown that the ability of the interval probability representation to capture epistemological independence is severely limited. Two events are epistemologically independent if knowledge of the first event does not alter belief (i.e.,…

人工智能 · 计算机科学 2013-02-18 Lonnie Chrisman
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