Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 18 min ago
PreprintCC BY 4.0Zenodo

The Carbon–Silicon Symbiosis Equilibrium Regularity in Closed Planetary Civilizations: A Quantitative Validation Based on Century- Scale Simulation of a Million-Settler Settlement

Abstract

The long-term co-evolutionary regularity of carbon-based and silicon-based intelligence

in a closed planetary system holds urgency for both Mars settlement and Earth-side AI

governance, yet existing research lacks cross-scale quantitative criteria. This study, built

on the multi-scenario empirically validated Star Project ES-V2.0 kernel, constructs a

century-scale (120-year) system-dynamics simulation of a one-million-settler settlement,

covering a 32-run matrix formed by 6 governance scenarios × 4 supply-shock levels and

1,160 Monte Carlo envelope runs. The core finding is the Carbon–Silicon Symbiosis

Equilibrium Regularity (SSE-R): the carbon–silicon collaboration ratio φ ≈ 0.60

constitutes a Pareto optimum, the only interval in the present parameter space

simultaneously satisfying the dual objectives of "long-term internal stability" and "external

expansion redundancy"; carbon-dominated regimes (&phi; < 0.50) exhibit, at the century

scale, production stagnation and a civilization confined to its home soil, while silicon-

dominated regimes (&phi; > 0.80) exhibit irreversible decay of human–machine consensus

and elevated risk of chaotic collapse. A supply shock of−25% constitutes a systemic

phase-transition inflection point, and under a strong shock (−50%) all governance paths

collapse irreversibly. Through cross-scale comparison across four scales—the voyage

segment (6 persons/9 months), thousand-settler settlement (1,000 persons/10 years),

ten-thousand-settler town (10,000 persons/60 years), and million-settler settlement

(1,000,000 persons/120 years)—the equilibrium point converges toward &phi; &asymp; 0.60 as scale

increases, preliminarily indicating the cross-scale convergence of this regularity. This

study provides quantitative decision support for Mars settlement engineering and a time-

scale-compressed reference framework for Earth-side AI governance.

Keywords: carbon–silicon symbiosis; civilization steady state; Mars settlement; century-

scale simulation; equilibrium regularity; system dynamics

Related

  1. Quantitative periodic homogenization and uniform regularity for nonlocal equations
    Kyeongbae Kim, Simon Nowak, Marvin Weidner
    arXivPreprintCC BY 4.0Full textAnalysis & PDEsarXiv
  2. Quantitative maximal Lp-regularity for generators of real contraction semigroups
    Moritz Egert, Jan Giesselmann, Marc Hoffmann
    arXivPreprintarXiv licenceFull textAnalysis & PDEsarXiv
  3. Qualitative-to-quantitative regularity for degenerate equations
    Aelson Sobral, Eduardo V. Teixeira, José Miguel Urbano
    arXivPreprintCC BY 4.0Full textAnalysis & PDEsarXiv
  4. Quantitative stratification and optimal regularity for stationary J-holomorphic maps
    Chang-Yu Guo, Ming-Lun Liu, Chang-You Wang
    arXivPreprintCC BY-NC-SA 4.0Full textAnalysis & PDEsGeometry & topologyarXiv
  5. Quantitative homogenization and large-scale regularity for nondivergence-form equations under a critical ellipticity moment
    Jizu Huang, Yong Ma
    arXivPreprintarXiv licenceFull textAnalysis & PDEsarXiv
BibTeX
@misc{pw5101302026carbonsilicon,
  title = {{The Carbon–Silicon Symbiosis Equilibrium Regularity in Closed Planetary Civilizations: A Quantitative Validation Based on Century- Scale Simulation of a Million-Settler Settlement}},
  author = {PW510130},
  howpublished = {Zenodo},
  year = {2026},
  month = oct,
  doi = {10.5281/zenodo.23659953},
  url = {https://zenodo.org/records/23659953},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - The Carbon–Silicon Symbiosis Equilibrium Regularity in Closed Planetary Civilizations: A Quantitative Validation Based on Century- Scale Simulation of a Million-Settler Settlement
AU  - PW510130
PY  - 2026
DA  - 2026/10/26
PB  - Zenodo
DO  - 10.5281/zenodo.23659953
UR  - https://zenodo.org/records/23659953
AB  - The long-term co-evolutionary regularity of carbon-based and silicon-based intelligence  in a closed planetary system holds urgency for both Mars settlement and Earth-side AI  governance, yet existing research lacks cross-scale quantitative criteria. This study, built  on the multi-scenario empirically validated Star Project ES-V2.0 kernel, constructs a  century-scale (120-year) system-dynamics simulation of a one-million-settler settlement,  covering a 32-run matrix formed by 6 governance scenarios × 4 supply-shock levels and  1,160 Monte Carlo envelope runs. The core finding is the Carbon–Silicon Symbiosis  Equilibrium Regularity (SSE-R): the carbon–silicon collaboration ratio &phi; &asymp; 0.60  constitutes a Pareto optimum, the only interval in the present parameter space  simultaneously satisfying the dual objectives of "long-term internal stability" and "external  expansion redundancy"; carbon-dominated regimes (&phi; < 0.50) exhibit, at the century  scale, production stagnation and a civilization confined to its home soil, while silicon-  dominated regimes (&phi; > 0.80) exhibit irreversible decay of human–machine consensus  and elevated risk of chaotic collapse. A supply shock of−25% constitutes a systemic  phase-transition inflection point, and under a strong shock (−50%) all governance paths  collapse irreversibly. Through cross-scale comparison across four scales—the voyage  segment (6 persons/9 months), thousand-settler settlement (1,000 persons/10 years),  ten-thousand-settler town (10,000 persons/60 years), and million-settler settlement  (1,000,000 persons/120 years)—the equilibrium point converges toward &phi; &asymp; 0.60 as scale  increases, preliminarily indicating the cross-scale convergence of this regularity. This  study provides quantitative decision support for Mars settlement engineering and a time-  scale-compressed reference framework for Earth-side AI governance.  Keywords: carbon–silicon symbiosis; civilization steady state; Mars settlement; century-  scale simulation; equilibrium regularity; system dynamics
ER  -