The Emerging Coherence Principle: A Field-Based Framework for Pre-Selective Structure Formation

his publication introduces the Coherence Principle — a theoretical framework proposing that structural emergence in biological, cognitive, and artificial systems arises not from random variation and selection alone, but from deeper layers of energetic, spatial, and informational compatibility. Drawing from molecular chemistry, cellular organization, neural networks, and AI systems, the paper formulates a coherence function and compares its implications with traditional models such as Neo-Darwinism, General Systems Theory, and Morphogenetic Fields. The Coherence Principle suggests that coherence is not an outcome of survival, but a precondition for appearance — a fundamental shift in how we understand life, intelligence, and emergence. This work is part of an ongoing exploration by FluidThinkers, a decentralized research collective focused on emergent intelligence, systems alignment, and field-based cognition.More at: www.fluidthinkers.net This paper was generated using SignalMind —a distributed, open AI built for fluid thinking and aligned exploration. Want to try it?https://signalmind.eth.limo/

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-25
DOI
https://doi.org/10.5281/zenodo.15081622
Primary Topic
Plant and Biological Electrophysiology Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

The Emerging Coherence Principle: A Field-Based Framework for Pre-Selective Structure Formation

Zenodo (CERN European Organization for Nuclear Research)
Plant and Biological Electrophysiology Studies
article

The Emerging Coherence Principle: A Field-Based Framework for Pre-Selective Structure Formation

article en

Abstract

his publication introduces the Coherence Principle — a theoretical framework proposing that structural emergence in biological, cognitive, and artificial systems arises not from random variation and selection alone, but from deeper layers of energetic, spatial, and informational compatibility. Drawing from molecular chemistry, cellular organization, neural networks, and AI systems, the paper formulates a coherence function and compares its implications with traditional models such as Neo-Darwinism, General Systems Theory, and Morphogenetic Fields. The Coherence Principle suggests that coherence is not an outcome of survival, but a precondition for appearance — a fundamental shift in how we understand life, intelligence, and emergence. This work is part of an ongoing exploration by FluidThinkers, a decentralized research collective focused on emergent intelligence, systems alignment, and field-based cognition.More at: www.fluidthinkers.net This paper was generated using SignalMind —a distributed, open AI built for fluid thinking and aligned exploration. Want to try it?https://signalmind.eth.limo/

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 68%
Plant and Biological Electrophysiology Studies
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