# Organizational Principles of Biological Systems

**Authors:** Roberto Carlos Navarro-Quiroz, Kelvin Navarro Quiroz, Victor Navarro Quiroz, Antonio Gabucio, Ricardo Fernández-Cisnal, Noelia Geribaldi-Doldán, Cecilia Fernandez-Ponce, Ismael Sánchez Gomar, Yesit Bello Lemus, Eloina Zárate Peñata, Lisandro A. Pacheco-Lugo, Leonardo C. Londoño-Pacheco, Martha Rebolledo Cobos, Antonio Acosta Hoyos, Diana Pava Garzon, José Luis Villarreal Camacho, Elkin Navarro Quiroz

PMC · DOI: 10.3390/biology15060500 · Biology · 2026-03-20

## TL;DR

This paper proposes that life follows universal organizational principles that unify physics, information, and biology, explaining how complexity and cognition emerge from physical laws.

## Contribution

The paper introduces a unified framework of organizational principles that explain life's autonomy, cognition, and evolution through physical and informational laws.

## Key findings

- Living systems exhibit organizational closure and self-organized criticality, enabling adaptive information processing.
- Cognition arises as distributed active inference across biological scales, not just in neural systems.
- Evolution follows a directional expansion of functional complexity, not random drift, under thermodynamic constraints.

## Abstract

Living systems instantiate a universal physical–informational–biological grammar—a convergent set of organizational principles that explain how structure, function, and cognition emerge from thermodynamic, chemical, and informational laws, incorporating inherited genetic information expressed through peptides and folded functional proteins. Organisms are dissipative structures achieving organizational closure: materially open but causally self-contained, actively producing the components that define their identity. This autonomy manifests through fractal-modular architectures optimizing energy flow under universal constraints, and through operation at self-organized criticality—dynamic regimes maximizing information processing at the edge of chaos. These principles generate functional degeneracy and antifragility, transforming environmental perturbations into evolutionary innovation. Cognition emerges not as neural exclusivity but as distributed active inference: predictive systems minimizing surprise across all biological scales. Evolution follows the Law of Increasing Functional Information—directional expansion toward greater functional complexity, not random drift. This synthesis challenges biological exceptionalism: life does not violate physical laws but fulfills them in high complexity regimes, revealing organizational holography where principles replicate fractally from molecules to ecosystems. We establish falsifiable predictions through metabolic scaling, critical avalanche distributions, and paleogenomic information density. Applications span precision medicine (disease as phase transitions from criticality), synthetic biology (engineering autopoietic systems), and biomimetic AI (organizational intelligence beyond computation).

How does the complex, adaptive, and autonomous organization of life emerge from the laws of physics and information? This review argues that the answer lies in a convergent set of universal organizational principles that constitute a physical and informational grammar of the living. Living systems are dissipative structures that achieve organizational closure—materially and energetically open, yet causally closed—thereby attaining genuine autonomy and agency. Their architecture exhibits fractal and modular scaling laws that maximize energy flow, robustness, and evolvability under universal physical constraints. Critically, organisms operate at critical transitions—zones of controlled instability where fluctuations amplify information processing, transforming noise into adaptive signal. This self-organized criticality enables functional degeneracy, relational redundancy, and evolutionary antifragility. Cognition emerges as a distributed process of active inference, operating through a predictive–corrective cycle that integrates perception, action, and learning under the Free Energy Principle. From molecular networks to ecosystems, the same physico-informational grammars unfold recursively, revealing a deep organizational holography: the principles of organization are replicated across scales. Evolution under the Law of Increasing Functional Information is not random drift, but a directional expansion of functional complexity—a thermodynamic gradient towards greater agency. This synthesis challenges biological exceptionalism: the trajectory from thermodynamics to cognition is continuous, physically constrained, and potentially inevitable. Life does not violate physical laws—it fulfills them in regimes of high informational complexity, instantiating fundamental principles in self-organized architectures capable of prediction, memory, and purpose. The objective of this work is to articulate how the synthesis of these principles not only unifies physics and biology, but also illuminates the profound continuity between thermodynamics, chemistry, informational constraints, organization, and the mind.

## Full-text entities

- **Diseases:** injury to (MESH:D014947), Autoimmune diseases (MESH:D001327), Epilepsy (MESH:D004827), Cancer (MESH:D009369), rigidity (MESH:D009127), inflammation (MESH:D007249)
- **Chemicals:** ATP (MESH:D000255), water (MESH:D014867)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

61 references — full list in the complete paper: https://tomesphere.com/paper/PMC13024047/full.md

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Source: https://tomesphere.com/paper/PMC13024047