The Illusion of the "Complex" Organism: Why Our Definition of Biological Scale is Incomplete

Traditional biology defines organismal complexity by internal structural bulk, genomic size,and cellular compartmentalization. This paper demonstrates that such a boundary-centricview is incomplete and misleading. An organism cannot be decoupled from its environment;it belongs to a living, interacting biome. We propose a universal, four-vector framework—Information Density (measured as real chemical and thermodynamic information quantity),Nonlinearity, Emergence, and Adaptation—to map complexity . Crucially, these vectorsare non-orthogonal; they overlap, cross-multiply, and compound dynamically. Complexity isnot a linear score or a set of independent traits, but an incomparable, multi-dimensionalvector composition . This model applies equally to biological biomes, defense networks,and economic systems.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-02
DOI
https://doi.org/10.5281/zenodo.23870925
Primary Topic
Complex Systems and Dynamics
Type
preprint
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preprint

The Illusion of the "Complex" Organism: Why Our Definition of Biological Scale is Incomplete

Aristide Traian Onisan
Zenodo (CERN European Organization for Nuclear Research)
Complex Systems and Dynamics
preprint

The Illusion of the "Complex" Organism: Why Our Definition of Biological Scale is Incomplete

Aristide Traian Onisan
preprint en

Abstract

Traditional biology defines organismal complexity by internal structural bulk, genomic size,and cellular compartmentalization. This paper demonstrates that such a boundary-centricview is incomplete and misleading. An organism cannot be decoupled from its environment;it belongs to a living, interacting biome. We propose a universal, four-vector framework—Information Density (measured as real chemical and thermodynamic information quantity),Nonlinearity, Emergence, and Adaptation—to map complexity . Crucially, these vectorsare non-orthogonal; they overlap, cross-multiply, and compound dynamically. Complexity isnot a linear score or a set of independent traits, but an incomparable, multi-dimensionalvector composition . This model applies equally to biological biomes, defense networks,and economic systems.

Zenodo (CERN European Organization for Nuclear Research)
Complex Systems and Dynamics
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