Biological Interface Prototypes and Failure Morphologies(A Non-Teleological Index Record)

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Authors: Chen Ruotong
Cited by: 0

Abstract

→ → → CMEM Framework Collection Link This document is a non-teleological diagnostic index record of biological and technological interface configurations that failed to stabilize into long-term systems. It introduces no evolutionary narrative, no adaptive interpretation, no causal mechanism, and no optimization objective. Each case is treated strictly as an interface configuration attempt, evaluated by interface count, coupling structure, signal directionality, temporal tolerance (Δt), and failure propagation behavior. Observed forms—including anomalous biological morphologies (e.g., Tullimonstrum), constraint-release windows such as Carboniferous gigantism, and modern technological systems (AI, VR, brain–computer interfaces)—are recorded as interface probes rather than successes, anomalies, or evolutionary endpoints. Stabilization, freeze, or disappearance are treated as structurally valid outcomes. The document integrates the CMEM–IFST–CDP closed diagnostic loop (Instability → Freeze → Decommission → Preservation) and applies it as a classification framework without invoking progress, fitness, intent, or optimization. A Civilizational Licensing Clause and a Civilizational Prohibited Actions List (CPAL) are included to define explicit participation boundaries. This record is diagnostic only and explicitly disclaims intervention, governance, optimization, prediction, or policy application. Observer and observed should cancel each other by default. When the observer is forcibly written into the system description,the behavior of the observed can only appear as probabilistic frames. This does not indicate intrinsic indeterminacy,but serves as a system-level warning that the interface is not accessible under the current state. Probabilistic representations emerge not because the system is uncertain,but because the observer has crossed an interface boundary that no longer admits direct access.

Fields of Study & Subjects

Artificial Immune Systems Applications Plant and Biological Electrophysiology Studies Gene Regulatory Network Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 January 2026
Language
EN