Biologypreprint2026-08-01

TRIZ 2.0: Dynamic Resonance Engineering - A Neuro‑Thermodynamic Protocol for Autonomic Gating and DMN‑ECN Switching in R&D Ecosystems

Open access0 citations

Abstract

TRIZ 2.0: Dynamic Resonance Engineering A Neuro‑Thermodynamic Protocol for Autonomic Gating and DMN‑ECN Switching in R&D Ecosystems Resolving the Inventive Bottleneck via CEREBRUM, TRIAD, and Active Inference Author: Valeriia Zaiats (Architect, TRIAD 5.9)Date: July 2026Prior Art Statement: This document serves as a defensive prior art publication, establishing public precedence for the TRIZ 2.0 architecture — including the Somatic Gate (PFC_{gate}), Adaptive Switch Clock, Epistemic Tagging System (E_s: K/U/H), and the CEREBRUM case‑declension pipeline ([INS] → [GEN] → [ACC] → [DAT]).License: CC BY‑NC‑ND 4.0 Core Proposition:Contemporary R&D management is not a problem of industrial psychology, but of computational thermodynamics.Agile, Scrum, and classical TRIZ force premature Executive Control Network (ECN) dominance, collapse the Default Mode Network (DMN), and impose a chronic Masking Tax (\xi_{mask}) that depletes the metabolic will (\omega) of engineers. TRIZ 2.0 replaces rigid, frequency‑biased workflows with a sinusoidal, biometric‑gated inventive cycle — restoring the DMN’s generative capacity through autonomic readiness checks, epistemic rather than social evaluation, and a categorical grammar (CEREBRUM) that turns problem‑solving into a precision‑weighted morphism. Transforming innovation management from an industrial psychology problem into a problem of computational thermodynamics.

// Source

View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-08-01

Authors: Valeriia Zaiats