A Unified Generative Systems Framework (UGSF): Architectural Meta‑Synthesis and Generative Conditions

UGSF (Unified Generative Systems Framework) introduces a structural, generative architecture for understanding how systems form, differentiate, and evolve. The framework integrates three layers: (1) generative asymmetry as the minimal condition for system formation, (2) GENAB as the generative abstraction method that transforms asymmetry into structured differentiation, and (3) AMS (Architectural Meta‑Synthesis) as the method for constructing coherent systemic architectures from generative components. This preprint formalizes the generative conditions underlying system formation, provides a unified architectural model, and outlines how UGSF can be applied across cognitive, computational, organizational, and conceptual domains. The work positions UGSF as a foundational framework for understanding generativity, abstraction, and systemic structure.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-09
DOI
https://doi.org/10.5281/zenodo.20617387
Primary Topic
Complex Systems and Decision Making
Type
preprint
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preprint

A Unified Generative Systems Framework (UGSF): Architectural Meta‑Synthesis and Generative Conditions

Rob Snoek-van Wienen
Zenodo (CERN European Organization for Nuclear Research)
Complex Systems and Decision Making
preprint

A Unified Generative Systems Framework (UGSF): Architectural Meta‑Synthesis and Generative Conditions

Rob Snoek-van Wienen
preprint en

Abstract

UGSF (Unified Generative Systems Framework) introduces a structural, generative architecture for understanding how systems form, differentiate, and evolve. The framework integrates three layers: (1) generative asymmetry as the minimal condition for system formation, (2) GENAB as the generative abstraction method that transforms asymmetry into structured differentiation, and (3) AMS (Architectural Meta‑Synthesis) as the method for constructing coherent systemic architectures from generative components. This preprint formalizes the generative conditions underlying system formation, provides a unified architectural model, and outlines how UGSF can be applied across cognitive, computational, organizational, and conceptual domains. The work positions UGSF as a foundational framework for understanding generativity, abstraction, and systemic structure.

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