Version 1
: Received: 1 August 2023 / Approved: 2 August 2023 / Online: 3 August 2023 (08:16:04 CEST)
How to cite:
Zheng, X.; Cao, Y. Big data reveals the change characteristics of 64 hexagrams and lines. Preprints2023, 2023080208. https://doi.org/10.20944/preprints202308.0208.v1
Zheng, X.; Cao, Y. Big data reveals the change characteristics of 64 hexagrams and lines. Preprints 2023, 2023080208. https://doi.org/10.20944/preprints202308.0208.v1
Zheng, X.; Cao, Y. Big data reveals the change characteristics of 64 hexagrams and lines. Preprints2023, 2023080208. https://doi.org/10.20944/preprints202308.0208.v1
APA Style
Zheng, X., & Cao, Y. (2023). Big data reveals the change characteristics of 64 hexagrams and lines. Preprints. https://doi.org/10.20944/preprints202308.0208.v1
Chicago/Turabian Style
Zheng, X. and Yang Cao. 2023 "Big data reveals the change characteristics of 64 hexagrams and lines" Preprints. https://doi.org/10.20944/preprints202308.0208.v1
Abstract
Chinese divination of I Ching has a history of thousands of years. The six lines changes in 64 hexagrams have exceeded one billion scenarios, and the inherent laws among them have not been well revealed to this day. By using big data's technology and coin toss method, this paper simulates the change of 64 hexagrams, and explores the probability and proportion of each hexagram during the change from the perspective of quantification, as well as the maximum and minimum conversion rate of hexagram change. This paper summarizes the basic characteristics and the basic law of hexagram change, and accordingly constructs the spatial form of hexagram change, and reveals the hidden secrets of the ancient Book of changes (I Ching). To achieve this goal, we randomly toss three coins 600 million times to generate 100 million hexagrams. According to the basic rules of hexagram divination, we calculate the hexagram changes. The results showed that: (1) Changes of things are mostly simple changes. The probability of 1 billion randomly generated hexagrams from one to three dynamic lines is close to 80%. (2) About 17% of the 64 hexagrams have no dynamic lines, which means that a significant proportion of the 64 hexagrams are invariant. (3) Small probability changing hexagram certainty and large probability changing hexagram uncertainty. (4) After generating one billion hexagrams at random, the topographic map with the probability of changing hexagrams has axial symmetry and fractal geometric characteristics, and the fractal characteristics are mainly manifested in that the changes on both sides of the symmetry are presented based on the triangle background. These results reflect the obvious characteristics and internal regularity of the changes in the 64 hexagrams of the I Ching. This article provides new ideas for scientific exploration of the internal laws of the 64 hexagrams in the I Ching.
Keywords
I Ching; Coin toss method;64 hexagram changes; Big data analysis; Hexagram changes topographic map
Subject
Computer Science and Mathematics, Analysis
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter's Conflict of Interests:
I am one of the author
Comment:
George Bernard Shaw said: A reasonable man should change himself to suit his circumstances; only those who are not reasonable would want to change his circumstances to suit themselves, but history is made by the latter kind of man.In other words, "Society is always driven by unreasonable people."
The article mentions that the driving force for the change of events is "Yin", or negative change, which is somewhat similar to Shaw's view. However, Shaw's idea did not find quantitative support, which caused some controversy.
Commenter:
Commenter's Conflict of Interests: I am one of the author
The article mentions that the driving force for the change of events is "Yin", or negative change, which is somewhat similar to Shaw's view. However, Shaw's idea did not find quantitative support, which caused some controversy.