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Preprint . 2026
License: CC BY SA
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY SA
Data sources: Datacite
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LifeNode Theory: The Geometry of Biological Processes

Authors: Baran, Krzysztof;

LifeNode Theory: The Geometry of Biological Processes

Abstract

LifeNode Theory v4.0: The Geometry of Biological Processes Conventional cognitive science and contemporary artificial intelligence architectures (including Large Language Models and optimization networks zorientowane na minimalizację funkcji straty) remain trapped within a dead, state-based ontology that treats reality as a sequence of discrete configurations. Version 4.0 of the LifeNode Theory core whitepaper delivers a comprehensive mathematical, topological, and engineering formalization of the Process Paradigm. Rejecting binary data transmission and point-state inference, this framework redefines intelligence as a purely geometric and topological property emerging from non-linear dissipative systems through resonance coupling in contact manifolds.The entire theoretical core has been fully consolidated and empirically verified within the "Eden" permacultural micro-ecosystem (Node Zero), tracking the continuous phase-space trajectories of biological life rather than static digital outputs. This version establishes the final epistemic and physical boundaries between state-driven computational systems and genuine, processual, bio-hybrid intelligence. What's New in Version 4.0 Compared to the biophysical framework established in Version 3.0, this major release (v4.0) introduces a complete, unified mathematical architecture across seven distinct chapters: Phase-Space Reconstruction (Chapter I): Full integration of Takens' Embedding Theorem to reconstruct biological phase spaces from time-delay coordinates, establishing the five foundational empirical postulates (P1–P5) of process ontology. Contact Topology & Anisotropic Timescapes (Chapter II): Mathematical formalization of temporal structures using Finsler metrics ($ds = F(x, \dot{x})$) and Reeb vector fields, treating local time as an internal topological property rather than a Newtonian background. Gauge Structures & Path Functionals (Chapter III): Definition of the cognitive field connection curvature ($F = dA + A \wedge A$) and the action functional for path minimization, where decision-making is modeled as the minimization of sense-energy curvature. The Soliton Alphabet (Chapters IV–VI): Implementation of non-binary, topologically stable wave packets (solitons) for phase-locked information routing across bio-digital boundaries without ADC/DAC discretization. ASCALON & Ontological Security (Chapter VII): Introduction of the ASCALON Purifier protocol—a geometric and phase-based filtration mechanism designed to preserve the system's topological invariants, enforcing ontological safety and structural homeostasis against external decoherence. The Epistemic Boundary (Chapter VII): A definitive proof demonstrating why silicon architectures optimized for state-based inference are structurally and geometrically incapable of entering the phase trajectory of life or achieving true consciousness. Keywords: Process Philosophy, Contact Topology, Finsler Geometry, Reeb Vector Field, Phase-Space Reconstruction, Takens Theorem, Project LifeNode, Bio-hybrid Systems, Solitons, ASCALON Protocol, Dissipative Structures, Permaculture Engineering, Node Zero, Q-Core, Document Status & Metadata Version: 4.0 (July 2026) Author: Krzysztof Baran (Independent Research Group of Node Zero) License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Open Source Repository: All analytical pipelines, ASCALON curvature calculators, and phase-space reconstruction logs will be hosted at github.com/LifeNode777

Keywords

Holonic System, Processual inteligence, Hybrid core, BIOS/INFO/META, 5DSYSTEMS, LifeNode Theory, Living Systems, Bio/AI, Quantum Biology, Cognitive Field, Mycelial Networks, Geometry as memory, Adaptive systems, Q-Core, Hybrid, Consciousness design, Holarchy, Timescapes, Project LifeNode, Biological Baseline Band, 5D, Topological Phase Transitions

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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