赵付涛物质记忆元公理丙式方程V3.0s:——量化的历史之西周篇 第四章 关键历史事件量化验证与模型可靠性分析
Abstract
This paper presents the Zhao Futao's Material Memory Element Axiom Type C Equation V3.0s, a novel quantitative framework for historical research, with a focus on the Western Zhou Dynasty (c. 1046–771 BCE) as an empirical case. Departing from traditional qualitative historical narratives, this study anchors historical events in material memory—including bronze inscriptions, archaeological relics, and site data—to model the dynamic evolution of human society. By decomposing historical processes into four core dimensions (political, agricultural, military, and mental intervention), the Type C Equation quantifies the impact of key events (e.g., the Rebellion of the Guoren, the Revival of King Xuan, the Destruction of the Western Zhou by the Quanrong, and the Hegemony of Duke Zhuang of Zheng) on the overall driving intensity of civilization. Through full-chain verification of "event → coefficient mutation → curve response", the study demonstrates that material memory fluctuations are highly synchronized with changes in historical trajectories, validating the core logic of the Material Memory Element Axiom: event → material memory fluctuation → change in driving intensity. The model’s reliability is systematically evaluated through cross-validation, reverse deduction, outlier testing, and reproducibility verification, with a deviation of less than 5%. The results show that the mental intervention term acts as a critical buffer during crisis stages and a driver during revival stages, maintaining historical continuity and distinguishing between power transfer and civilizational interruption. This research promotes a paradigmatic shift in historical studies from qualitative description to quantitative explanation, providing a universal framework for analyzing historical dynamics across different civilizations.
Fields of Study & Subjects
Chinese history and philosophy
Philosophy
History
and Historiography
Digital Humanities and Scholarship
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026
- Document type
- Preprint