形态发生理论:走向社会复杂性起源的Agent模拟

C. Cioffi-Revilla
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引用次数: 1

摘要

基于主体的社会模拟模型开始为科学理解人类社会复杂性的起源(进化)做出重大贡献。然而,社会理论对社会复杂性起源的前提条件仍不清楚;在最简单的社会能够自我组织之前,人们一定已经知道了一些事情。此外,也缺乏正式的政治发生理论。我提出了一个关于社会复杂性的正式数学理论,重点关注人类在大约1万年前(全新世早期)在世界上某些地区首次出现之前的历史阶段。这种形式主义使用概率论和分析来推导出一组基本的、可测试的结果。该理论的主要预测支持初始社会复杂性的罕见性质,与观察一致。该理论在地理空间上的进一步应用,是基于先验的、因果的、理论预测的潜力,来预测物种发生的预期位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Formal Theory of Politogenesis: Towards an Agent Simulation of Social Complexity Origins
Agent-based social simulation models are beginning to make significant contributions to scientific understanding of origins of human social complexity (politogenesis). However, social theory remains unclear about the prerequisites of social complexity origins; about things people must have known before the simplest societies could self-organize. In addition, there is a paucity of formal theories of politogenesis. I present a formal mathematical theory of social complexity focused on the phase of human history preceding its initial emergence in selected world regions ca. 10,000 years ago (early Holocene epoch). The formalism uses probability theory and analysis to derive a set of basic, testable results. The main prediction of the theory supports the rare nature of initial social complexity, consistent with observation. Further geospatial applications of the theory predict expected locations for politogenesis, based on prior, causal, theoretically predicted potentials.
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