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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Structural Thresholds of Observer Stabilization: Toward a Systems-Level Model of Subjecthood

Authors: Nika, Novak;

Structural Thresholds of Observer Stabilization: Toward a Systems-Level Model of Subjecthood

Abstract

This preprint introduces a systems-level model of subjecthood within the framework of Human System Architecture (HSA). The paper proposes that the observer should be conceptualized not as an ontological entity, but as a regime of dynamic integration emerging when predictive, regulatory, and executive processes reach a structural threshold of coherence. The work formulates the principle of asymmetry between operational configuration and observer regimes, describes nonlinear phase dynamics of observer transitions, and introduces the possibility of fragmented and context-dependent stabilization. The framework aims to bridge predictive processing, complexity science, and the study of human agency through an architectural lens.

Keywords

Observer stabilization, Agency, System integration, Phase transitions, Human System Architecture, Predictive processing, Active inference, Complex adaptive systems, Subjecthood

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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
Green