The Cosmic Ecosystem
Abstract
This work proposes the Cosmic Ecosystem as a unifying conceptual framework in which physical, biological, and informational processes are understood as expressions of a single, scale-invariant system of constraint, metabolism, and coherence. Rather than treating biology as an emergent anomaly within an otherwise inert universe, the framework reframes biological organization as a natural continuation of the same constraint-structuring processes that govern particles, fields, and cosmological dynamics. Within this view, structures traditionally labeled as “biological” (such as proteins, metabolic pathways, and immune memory) are not metaphors for physical processes, nor late-stage special cases, but concrete manifestations of universal constraint mechanisms operating across scale. Physical laws, chemical bonds, biological regulation, and cognitive coherence are interpreted as ecosystem dynamics—stabilization, adaptation, and energy-limited persistence within a finite render of reality. The Cosmic Ecosystem framework does not assert a living universe in a literal or anthropomorphic sense. Instead, it offers a disciplined synthesis in which life, matter, and information are treated as mutually reinforcing processes within a single constrained substrate. This perspective provides a common language for understanding emergence, resilience, breakdown, and repair across domains ranging from cosmology and physics to biology, cognition, and technological systems. By reframing reality as an ecosystem rather than a hierarchy of disconnected domains, this work aims to support clearer reasoning about coherence, sustainability, and long-term stability in both natural and artificial systems, while remaining compatible with empirical science and falsifiable inquiry.
Fields of Study & Subjects
Complex Systems and Dynamics
Earth Systems and Cosmic Evolution
Philosophy and History of Science
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 27 January 2026
- Document type
- Preprint