Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Preprint . 2026
License: CC BY NC ND
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY NC ND
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY NC ND
Data sources: Datacite
versions View all 2 versions
addClaim

Metabolic Framework of Attentional Pressure

Authors: LvsD;

Metabolic Framework of Attentional Pressure

Abstract

This preprint presents a theoretical and methodological framework for describing cognitive and regulatory dynamics, referred to as the metabolic model. The work focuses on clarifying the conceptual status of attentional pressure, defining it as a model-level state variable that reflects structural priority within an internal system model rather than perceptual attention or phenomenological salience. The framework explicitly separates multiple levels of description (ontological, model, phenomenological, and interpretative), adopts a constraint-based and dynamical interpretation of causality, and employs thermodynamic terminology as a formal analogy rather than a claim of physical instantiation. These methodological choices are intended to avoid category errors, causal ambiguity, and overextension of physical metaphors. The proposed model does not offer empirical validation, measurement protocols, or computational implementations. Its scope is limited to systems characterized by multiple internal states, partial observability, and regulatory mechanisms governing relevance and stability. Transferability across domains—such as human cognition, biological regulation, or artificial systems—is treated in terms of structural correspondence rather than direct analogy. This work is intended as a framework paper that provides a coherent conceptual vocabulary and methodological baseline for future theoretical development, comparative modeling, and potential empirical or computational operationalization.

Keywords

regulatory dynamics, attentional pressure, theoretical framework, cognitive modeling, systems theory

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities