基于ArchMatNet代理的模型描述和灵敏度分析
Robert J Bischoff1, Cecilia Padilla-Iglesias2
1School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, United States of America.
PeerJ. Computer science
|August 7, 2023
概括
考古学家使用物质遗迹来推断过去的社交网络. ArchMatNet模型模拟了这些网络,揭示了考古数据与实际社会互动的关系,并指导了模型的使用.
科学领域:
- 考古学是一种科学.
- 计算考古学是一种计算考古学.
- 社交网络分析分析
背景情况:
- 考古学家从物质文化中推断出过去的社会互动,因为直接观察是不可能的.
- 社交网络分析方法通常应用于考古数据,以重建过去的社会动态.
研究的目的:
- 探索考古材料网络与产生它们的社会网络之间的关系.
- 介绍和测试基于ArchMatNet代理的模型来模拟过去的社会系统.
- 分析ArchMatNet模型对各种参数的灵敏度.
主要方法:
- 开发基于ArchMatNet代理的模型,适应各种社会系统 (从狩猎采集者到园艺家).
- 纳入灵活的代理活动 (狩猎,贸易,迁徙等). 根据社会,人口和历史动态的可调节参数.
- 应用一次性一个因素 (OFAT) 方法对模型参数的灵敏度分析.
主要成果:
- 该研究评估了ArchMatNet模型对参数变化的敏感性,为其行为提供了洞察力.
- 灵敏度分析确定了不同参数如何影响新兴网络结构.
- 这项研究为理解物质文化与社会网络之间的联系建立了框架.
结论:
- 阿奇马特网模型提供了一种灵活的工具,可以通过物质遗迹模拟和理解过去的社会互动.
- 灵敏度分析结果作为用户指南,为参数选择和模型解释提供信息.
- 这项工作增强了从考古数据中重建过去社交网络的能力.
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