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
Other literature type . 2026
License: CC BY NC
Data sources: ZENODO
https://doi.org/10.2139/ssrn.6...
Article . 2026 . Peer-reviewed
Data sources: Crossref
ZENODO
Other literature type . 2026
License: CC BY NC
Data sources: Datacite
versions View all 2 versions
addClaim

Constrained Informational Systems: A Formal Framework for Lawful Emergence Under Constraint

Authors: Nelson, D.S.;

Constrained Informational Systems: A Formal Framework for Lawful Emergence Under Constraint

Abstract

<p>Classical information theory provides powerful tools for quantifying uncertainty in symbolic systems but remains largely agnostic to meaning. Many real-world systems, cognitive, linguistic, social, and institutional, are meaning bearing: interpretation itself influences state evolution. This work proposes a structural framework for analyzing such systems as constrained informational systems (CIS), characterized by entropy behavior, boundary conditions, irreversibility, and phase transitions.&nbsp;</p> <p><span>We introduce semantic state spaces in which interpretations are treated as informational states subject to constraint-driven dynamics. Within this framework, semantic entropy measures unresolved interpretive alternatives, while constraint injection reshapes the geometry of meaning-space, producing stabilization, path dependence, and hysteresis. We argue that semantic ordering can arise through entropy gradients without persuasion, enforcement, or belief convergence, yielding attraction toward low-entropy configurations analogous to ordering phenomena observed in other constrained systems.&nbsp;</span></p> <p><span>The analysis specifies empirical signatures and falsification criteria, remaining agnostic to metaphysical interpretation and independent of physical substrate. By extending information theoretic reasoning to meaning-bearing systems, this work aims to provide a formal foundation for studying semantic dynamics across domains while preserving testability and scope discipline.&nbsp;</span></p> <p><span>In treating constraint as a primitive structural feature rather than as an auxiliary regulator, the proposed treatment isolates a diagnostic system class characterized by the structural consequences of constraint location. Within this class, systems exhibit characteristic failure modes under particular constraint configurations, including epistemic paralysis under excessive constraint, chaotic dissolution under insufficient constraint, and catastrophic over-coherence when constraint collapse reduces semantic plurality to a single dominant attractor. The failure modes arise from state evolution under constraint regimes; they are “misconfigurations” only relative to epistemic viability or functional intent. The framework further introduces a classification and phase-space lens for analyzing these dynamics, enabling comparison across domains without presupposing normative, metaphysical, or substrate-specific commitments.&nbsp;</span></p>

Keywords

information theory (structural), epistemology of systems, semantic entropy, state space dynamics, emergence, complex systems, constraint-based dynamics, constrained informational systems, phase transitions

  • 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
Green