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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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The Persistence Hypothesis: Self-Correction as a Necessary Condition for Persistence in Complex Adaptive Systems; Die Persistenz-Hypothese: Selbstkorrektur als notwendige Bedingung für Persistenz komplexer adaptiver Systeme

Authors: von Mallinckrodt, Bernd;

The Persistence Hypothesis: Self-Correction as a Necessary Condition for Persistence in Complex Adaptive Systems; Die Persistenz-Hypothese: Selbstkorrektur als notwendige Bedingung für Persistenz komplexer adaptiver Systeme

Abstract

This paper presents The Persistence Hypothesis, an integrative, mechanism-agnostic and explicitly falsifiable conceptual hypothesis concerning complex adaptive systems. Rather than claiming to discover a previously unknown relationship, it reformulates and unifies ideas from cybernetics, viability theory, systems theory and resilience research into a single explicit scientific hypothesis. The paper proposes that the long-term persistence of a complex adaptive system under sustained, non-trivial perturbation requires the preservation of a meaningful capacity for self-correction. It provides operational definitions of Persistence and Self-Correction Capacity, discusses their relationship to established theoretical frameworks, and develops a bounded empirical falsification protocol intended to make the hypothesis practically testable. The manuscript is intended as a conceptual foundation for future empirical research rather than as evidence supporting any specific measurement framework or implementation. Keywords Complex Adaptive Systems; Persistence; Self-Correction; Self-Correction Capacity; Viability Theory; Cybernetics; Ultrastability; Viable System Model; Resilience; Systems Theory; Falsifiability; Conceptual Framework; Integrative Hypothesis 🇩🇪 Deutsche Beschreibung Beschreibung Diese Arbeit formuliert die Persistenz-Hypothese als eine integrative, mechanismenunabhängige und ausdrücklich falsifizierbare wissenschaftliche Hypothese über komplexe adaptive Systeme. Sie beansprucht nicht, eine bislang unbekannte Beziehung zu entdecken, sondern führt Konzepte aus Kybernetik, Viabilitätstheorie, Systemtheorie und Resilienzforschung zu einer expliziten wissenschaftlichen Hypothese zusammen. Die Arbeit schlägt vor, dass die langfristige Persistenz eines komplexen adaptiven Systems unter andauernder, nicht-trivialer Störung die Erhaltung einer wirksamen Selbstkorrekturfähigkeit voraussetzt. Hierzu werden die Begriffe Persistenz und Selbstkorrekturfähigkeit operational definiert, gegenüber bestehenden theoretischen Rahmenwerken eingeordnet und durch ein begrenztes empirisches Falsifikationsprotokoll in eine praktisch überprüfbare Form überführt. Das Manuskript versteht sich als konzeptionelle Grundlage für zukünftige empirische Forschung und nicht als Evidenz für ein bestimmtes Messverfahren oder eine konkrete Implementierung. Schlüsselwörter Komplexe adaptive Systeme; Persistenz; Selbstkorrektur; Selbstkorrekturfähigkeit; Viabilitätstheorie; Kybernetik; Ultrastabilität; Viable System Model; Resilienz; Systemtheorie; Falsifizierbarkeit; Konzeptioneller Rahmen; Integrative Hypothese

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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
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