A Minimal Ontology of Organization

A Minimal Ontology of Organization presents a domain-independent ontology for organized systems. The document identifies a minimal collection of organizational primitives intended to apply across physical, biological, computational, economic, social, and engineered systems without assuming any particular mathematical formalism. The ontology is based on the following organizational objects: Focal system Observational resolution Environment Operational requirements Potential Constraints State Rate Coupling From these primitives, geometry is treated as an emergent consequence of organizational realization rather than as a primitive object. The ontology is intended to provide a common conceptual foundation upon which multiple mathematical frameworks—including, but not limited to, viability theory, constrained optimization, hybrid systems, and control barrier functions—may be interpreted as different mathematical realizations of the same organizational objects. This document defines the ontology itself. Questions of literature positioning, priority, and relationships to existing theoretical frameworks are addressed in a separate companion document.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-16
DOI
https://doi.org/10.5281/zenodo.21387833
Primary Topic
Chaos, Complexity, and Education
Type
preprint
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preprint

A Minimal Ontology of Organization

Dimitri Cerny
Zenodo (CERN European Organization for Nuclear Research)
Chaos, Complexity, and Education
preprint

A Minimal Ontology of Organization

Dimitri Cerny
preprint en

Abstract

A Minimal Ontology of Organization presents a domain-independent ontology for organized systems. The document identifies a minimal collection of organizational primitives intended to apply across physical, biological, computational, economic, social, and engineered systems without assuming any particular mathematical formalism. The ontology is based on the following organizational objects: Focal system Observational resolution Environment Operational requirements Potential Constraints State Rate Coupling From these primitives, geometry is treated as an emergent consequence of organizational realization rather than as a primitive object. The ontology is intended to provide a common conceptual foundation upon which multiple mathematical frameworks—including, but not limited to, viability theory, constrained optimization, hybrid systems, and control barrier functions—may be interpreted as different mathematical realizations of the same organizational objects. This document defines the ontology itself. Questions of literature positioning, priority, and relationships to existing theoretical frameworks are addressed in a separate companion document.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Chaos, Complexity, and Education
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