The Cosmic Ecosystem

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Authors: Jamie Morris
Cited by: 0

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