- 期刊
- OpenAccess
「細胞自動機」觀點的闡釋：秦朝滅亡實例
Explanation of the Fall of the Qin Dynasty with "Cellular Automata" Viewpoint
摘要
世事如棋，局局新；正如政治情勢的演變，快速，如「細胞自動機」（cellular automata）的模擬，疊代、離散。西元前210年秦始皇駕崩，西元前207年，秦朝滅亡。短短3年多時間，大秦帝國，就崩潰瓦解，本文從「細胞自動機」的觀點來解讀。「細胞自動機」模型的觀念是：自然界裡許多複雜結構和過程，歸根到底只是由大量基本組成單元的簡單相互作用所引起。「細胞自動機」認為：整體系統的變化係由各基本的小單位，按鄰域互動方式，進行疊代、離散，逐漸發展形成整體。本文認為政治發展也然。西元前210年秦始皇駕崩，秦始皇臨死讓趙高傳旨由長子扶蘇繼位，趙高沒有傳達，勸胡亥代兄繼位。由此開始演變，依「細胞自動機」的疊代離散觀點，由趙高、胡亥、李斯、三者政治人物之間，互動、疊代、離散，依循其特定發展規則（rule 254），演化至西元前207年，秦朝滅亡。本文發現具有闡釋力，對細胞自動機研究具有貢獻：1.應用到歷史政治發展，不用模擬、統計模式。2.細胞不分左右鄰居，也不用作用者模式。3.細胞1（黑）0（白），擴大運用到爛掉（或死亡）正常（存活）。
並列摘要
Things in the world are like chess, every game becomes new; just like the evolution of the political situation changing rapidly, like the simulation of a "cellular automata", iterative and discrete. Emperor Qin Shihuang died in 210 BC, and the Qin Dynasty fell in 207 BC. In just over three years, the Qin Empire collapsed. This article explains the scenario from the perspective of "cellular automaton". The concept of the "cellular automaton" model is that many complex structures and processes in nature are ultimately caused by simple interactions of a large number of basic building blocks. "Cellular Automata" believes that the changes in the overall system are caused by the iteration and discreteness of each basic small unit according to the neighborhood interaction method, and gradually develop to form a whole. This article argues that the same is true for political development. Emperor Qin Shihuang died in 210 BC. Before his death, Emperor Qin Shihuang asked Zhao Gao to pass the decree that his eldest son, Fusu, should succeed him. Zhao Gao did not convey it and persuaded Hu Hai to succeed as Emperor. From then on, it began to evolve. According to the iterative discrete point of view of "cellular automata", Zhao Gao, Hu Hai, Li Si, and the three political figures interacted, iterated, and dispersed, and evolved according to their specific development rule 254. By 207 BC, the Qin Dynasty fell. This article is found to have explanatory power and contribute to cellular automata research: 1. Apply to historical and political development without simulation or statistical models. 2. Cells do not distinguish between left and right neighbors, and do not use actor mode. 3. Cells 1 (black) 0 (white), expand and use until they are rotten (or dead) and normal (survival).