The Biological Information Cycle DOI
Arthur S. Reber, František Baluška, William B. Miller

et al.

Oxford University Press eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 89 - 104

Published: Oct. 5, 2023

Abstract Biology is driven by self-referential cognition, which cells become aware of the uncertainties environmental cues. Cells evaluate ambiguous information through a cellular cycle as crucial tool problem-solving. Since all imprecise, must measure it. A senomic architecture supports that intricate process an integral component its management system. have learned validity (measuring value) their available can be improved shared assessment. This basal impulse stimulating factor leads to multicellularity. Consequently, informational ambiguity constitutes actual driver biological and evolutionary development reverberations among sentient cells. There growing recognition biomolecular processes represent flow equates with energy mobilization useful predictions. However, any productive requires channelling. The epicentre consciousness. Accordingly, are interactomes. As conscious, macro-organisms architectures, theory consciousness or mind should based on cell theory.

Language: Английский

On Bayesian mechanics: a physics of and by beliefs DOI Creative Commons
Maxwell J. D. Ramstead, Dalton A R Sakthivadivel, Conor Heins

et al.

Interface Focus, Journal Year: 2023, Volume and Issue: 13(3)

Published: April 14, 2023

The aim of this paper is to introduce a field study that has emerged over the last decade, called Bayesian mechanics. mechanics probabilistic mechanics, comprising tools enable us model systems endowed with particular partition (i.e. into particles), where internal states (or trajectories states) system encode parameters beliefs about external their trajectories). These allow write down mechanical theories for look as if they are estimating posterior probability distributions causes sensory states. This provides formal language modelling constraints, forces, potentials and other quantities determining dynamics such systems, especially entail on space statistical manifold). Here, we will review state art in literature free energy principle, distinguishing between three ways which been applied path-tracking, mode-tracking mode-matching). We go examine duality principle constrained maximum entropy both lie at heart discuss its implications.

Language: Английский

Citations

88

A free energy principle for generic quantum systems DOI
Chris Fields, Karl Friston,

James F. Glazebrook

et al.

Progress in Biophysics and Molecular Biology, Journal Year: 2022, Volume and Issue: 173, P. 36 - 59

Published: May 23, 2022

Language: Английский

Citations

61

A scale-free universal relational information matrix (N-space) reconciles the information problem: N-space as the fabric of reality DOI Creative Commons
William B. Miller

Communicative & Integrative Biology, Journal Year: 2023, Volume and Issue: 16(1)

Published: May 11, 2023

Cellular measurement is a crucial faculty in living systems, and exaptations are acknowledged as significant source of evolutionary innovation. However, the possibility that origin biological order predicated on an exaptation information from abiotic realm has not been previously explored. To support this hypothesis, existence universal holographic relational space-time matrix proposed scale-free unification biotic systems. In framework, property representing interactions between matter energy can be subject to observation. Since observers also universally distributed, deemed fundamental fabric universe. The novel concept compartmentalizing N-space into separate partitions nodes informational density defined by Markov blankets boundaries introduced, permitting their applicability both Based these partitions, systems derive meaningful conditional settlement quantum entanglement asymmetries coherences separately bounded reference frames sufficient construed form measurement. These relationships precursor reiterating nested architecture N-space-derived fields characterize life account for order. Accordingly, partitioning preexisting processes within Abiotic states thereby reconcile differing forms information. essential difference lies attributes specific observer/detectors, clarifying several contentious aspects self-referential consciousness.

Language: Английский

Citations

28

Regulative development as a model for origin of life and artificial life studies DOI
Chris Fields, Michael Levin

Biosystems, Journal Year: 2023, Volume and Issue: 229, P. 104927 - 104927

Published: May 19, 2023

Language: Английский

Citations

23

Alternative neural systems: What is a neuron? (Ctenophores, sponges and placozoans) DOI Creative Commons
Leonid L. Moroz, Daria Y. Romanova

Frontiers in Cell and Developmental Biology, Journal Year: 2022, Volume and Issue: 10

Published: Dec. 23, 2022

How to make a neuron, synapse, and neural circuit? Is there only one 'design' for architecture with universally shared genomic blueprint across species? The brief answer is "No." Four early divergent lineages from the nerveless common ancestor of all animals independently evolved distinct neuroid-type integrative systems. One these subset nets in comb jellies unique synapses; second lineage well-known Cnidaria + Bilateria; two others are non-synaptic neuroid systems sponges placozoans. By integrating scRNA-seq microscopy data, we revise definition neurons as synaptically-coupled polarized highly heterogenous secretory cells at top behavioral hierarchies learning capabilities. This physiological (not phylogenetic) separates 'true' non-synaptically gap junction-coupled executing more stereotyped behaviors. Growing evidence supports hypothesis multiple origins synapses. Thus, many non-bilaterian bilaterian neuronal classes, circuits or considered functional rather than genetic categories, composed non-homologous cell types. In summary, little-explored examples convergent evolution representatives branching metazoans provide conceptually novel microanatomical architectures controls prospects neuro-engineering synthetic biology.

Language: Английский

Citations

32

Federated inference and belief sharing DOI Creative Commons
Karl Friston, Thomas Parr, Conor Heins

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2023, Volume and Issue: 156, P. 105500 - 105500

Published: Dec. 5, 2023

This paper concerns the distributed intelligence or federated inference that emerges under belief-sharing among agents who share a common world-and world model. Imagine, for example, several animals keeping lookout predators. Their collective surveillance rests upon being able to communicate their beliefs-about what they see-among themselves. But, how is this possible? Here, we show all necessary components arise from minimising free energy. We use numerical studies simulate generation, acquisition and emergence of language in synthetic agents. Specifically, consider inference, learning selection as variational energy posterior (i.e., Bayesian) beliefs about states, parameters structure generative models, respectively. The theme-that attends these optimisation processes-is actions minimise expected energy, leading active model (a.k.a., learning). first illustrate role communication resolving uncertainty latent states partially observed world, on which have complementary perspectives. then requisite language-entailed by likelihood mapping an agent's overt expression (e.g., speech)-showing can be transmitted across generations learning. Finally, emergent property minimisation, when operate within same econiche. conclude with discussion various perspectives phenomena; ranging cultural niche construction, through learning, complexity ensembles self-organising systems.

Language: Английский

Citations

16

The Sentient Cell DOI
Arthur S. Reber, František Baluška, William B. Miller

et al.

Oxford University Press eBooks, Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 5, 2023

Abstract This volume is the natural follow-up to Arthur Reber’s 2019 book, The First Minds: Caterpillars, ‘Karyotes, and Consciousness (TFM). In that earlier work, Cellular Basis of (CBC) theory was developed based on a number efforts published in variety journals between 1997 as well talks, colloquia, presentations at conferences. core proposition TFM life mind are co-terminous. All organisms, all species extant extinct, sentient. have an existentially secure consciousness—without which they would been evolutionary dead-ends, unable survive chaotic, dangerous environment first appeared. And, importantly, forms sentience, cognitive functioning right up including those expressed by humans, evolved from original expression consciousness birth prokaryotes. unicellular widely accepted, foundational principle biological social sciences. CBC simply applies same sentience.

Language: Английский

Citations

13

The free energy principle induces intracellular compartmentalization DOI
Chris Fields

Biochemical and Biophysical Research Communications, Journal Year: 2024, Volume and Issue: 723, P. 150070 - 150070

Published: May 7, 2024

Language: Английский

Citations

5

How Do We Observe Relational Observables? DOI Creative Commons
Emily Adlam

Journal for General Philosophy of Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 28, 2025

Abstract In theories with a diffeomorphism symmetry, such as general relativity and canonical quantum gravity, it is often proposed that the empirical content encoded in relational observables. But how do observables actually make contact experience? I argue this question can only be answered by providing schematization of observer which appropriate for context diffeomorphism-invariant theory. suggest may require us to move away from ‘passive awareness’ conception consciousness towards more agential conception, because there clear sense an embodied agent must experience herself localised at time. Finally, consider what means prospects using reference frames address problem time, arguing way are standardly described does not give adequate resources model agency, so some other kind internal frame required fully explain we observe context.

Language: Английский

Citations

0

Sequential Measurements, Topological Quantum Field Theories, and Topological Quantum Neural Networks DOI
Chris Fields,

James F. Glazebrook,

Antonino Marcianò

et al.

Fortschritte der Physik, Journal Year: 2022, Volume and Issue: 70(11)

Published: Sept. 2, 2022

Abstract We introduce novel methods for implementing generic quantum information within a scale‐free architecture. For given observable system, we show how observational outcomes are taken to be finite bit strings induced by measurement operators derived from holographic screen bounding the system. In this framework, measurements of identified systems with respect defined reference frames represented semantically‐regulated flows through distributed sets binary‐valued Barwise‐Seligman classifiers. Specifically, construct functor category cone‐cocone diagrams (CCCDs) over classifiers, cobordisms Hilbert spaces. that CCCDs provide representation (QRFs). Hence constructed shows sequential can induce TQFTs. The only requirement is each in sequence, itself, satisfies Bayesian coherence, hence probabilities it assigns satisfy Kolmogorov axioms. extend analysis too develop topological neural networks (TQNNs), which enable machine learning functorial evolution 2‐complexes (TQN2Cs) governed TQFTs amplitudes, and resort Atiyah‐Singer theorems order classify data processed TQN2Cs. then comment about quiver generalized spin‐networks, basis spaces both TQNNs finally review potential implementations framework solid state physics suggest applications simulation biological processing.

Language: Английский

Citations

19