Using agent based modeling to replicate origins of social complexity: The case of limited evidence in the late Longshan cultures and early Erlitou culture

Carmen Iasiello
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Abstract

Within the archaeological record for Bronze Age Chinese culture, there continues to be a gap in our understanding of the sudden rise of the Erlitou State from the previous late Longshan chiefdoms. In order to examine this period, I develop and use an agent based model (ABM) to explore possible sociopolitically relevant hypotheses for the gap between the demise of the late Longshan cultures and rise of the first state level society in East Asia. I test land use strategy making and collective action in response to drought and flooding scenarios, the two plausible environmental hazards at that time. The model results show cases of emergent behavior where an increase in social complexity could have been experienced if a catastrophic event occurred while the population was sufficiently prepared for a different catastrophe, suggesting a plausible lead for future research into determining the life of the time period.
基于主体的模型复制社会复杂性的起源——以龙山文化晚期和二里头文化早期的有限证据为例
在青铜器时代中国文化的考古记录中,我们对二里国从先前晚期龙山酋邦的突然崛起的理解仍然存在差距。为了研究这一时期,我开发并使用了一个基于主体的模型(ABM)来探索东亚龙山文化晚期消亡与第一个国家级社会兴起之间差距的可能的社会政治相关假设。我测试了土地利用战略制定和集体行动,以应对干旱和洪水情景,当时两种可能的环境危害。该模型的结果显示了突发性行为的案例,即如果一场灾难性事件发生,而人们对另一场灾难有充分的准备,那么社会复杂性可能会增加,这为未来研究确定该时期的寿命提供了一个合理的线索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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