Overview
At a glance
- RSI and boundary function B(Mk)
- Sigmoidal saturation model
- Ten demonstrative cross-domain cases
- Neural integration → galaxy formation
- Stated falsification condition
A recursive modeling architecture for saturation thresholds in complex systems, framed within the Universal Energy Field (UEF) perspective and drawing on consciousness studies, complexity science, ecology, cosmology, and AI.
The architecture is governed by the Recursive Saturation Index (RSI) and a boundary function B(Mk), the ratio of internal to external recursive stress. Using a sigmoidal saturation model, these tools describe how systems evolve, stabilize, or reorganize as recursive parameters approach critical thresholds, across distinct temporal phases characterized by boundary functions, information entropy, and integration dynamics.
Ten demonstrative cases — from neural integration and biological aging to climate feedbacks and early galaxy formation — illustrate how recursive saturation drives reorganization. The framework is assessed for generalizability, model vulnerability, and falsifiability, and offered as a falsifiable, interdisciplinary lens for emergence, boundary shifts, and phase transitions across physical and cognitive domains.
What it claims / What it does not claim
What it claims
A cross-scale saturation architecture. The RSI and boundary function B(Mk), applied through a sigmoidal saturation model, describe how recursive systems approach, stabilize at, or reorganize past critical thresholds — with ten demonstrative cases spanning neural, biological, ecological, climatic, and cosmological domains.
A falsifiable lens. The framework commits to a specific falsification condition — for instance, performance curves that improve continuously without plateaus would challenge the model — and proposes experimental protocols to test its vulnerabilities.
What it does not claim
Illustrative, not confirmatory. The ten cases demonstrate how the model applies rather than establishing it empirically; by the paper’s own statement, the framework does not claim to resolve all questions about consciousness and complex systems.
A model prone to its own subject. The paper flags recursive epistemology — that models of recursion are themselves products of recursive, saturation-prone systems — and treats the more far-reaching implications as explicitly speculative.
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