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模拟狩猎采集人口的流动性:基于细胞自动机的动态模拟方法
Richard J Hewitt1, Manuel Alcaraz-Castaño2, Vito C Hernandez3
1Instituto de Economía, Geografía y Demografía, Spanish National Research Council (IEGD-CSIC), C/de Albasanz 26-8, Madrid, 28037 Spain.
概括
这项研究介绍了DISPERSCA,一种基于代理的模型来模拟狩猎采集者的流动性. 该模型表明,中部伊比利亚山脉可能是古代人类运动的障碍.
科学领域:
- 考古学的考古学
- 计算建模计算建模
- 古代环境研究研究.
背景情况:
- 狩猎采集者流动性研究往往缺乏动态方法,并与不确定性作斗争.
- 传统的最低成本模型假定旅行者有完整的知识和已知的开始/结束点,限制它们在数据稀缺地区的使用.
- 人种学数据往往是特定于群体和地区的,阻碍了更广泛的应用.
研究的目的:
- 通过开发一种动态的,基于代理的方法来解决现有流动性模型的局限性.
- 探索在考古证据稀缺的景观中狩猎采集者的运动潜力.
- 测试关于过去人类迁徙的景观障碍的假设.
主要方法:
- 开发了DISPERSCA,这是一个基于代理的模型,集成了细胞自动机 (CA) 理论.
- 代理人根据在一个定义的"决策集聚区" (CA 社区) 内的决策来导航健身场景.
- 模型包含可变的社区大小和形状 (正方形/六角形),以考虑未知的决策区域.
主要成果:
- 应用DISPERSCA到晚期普莱斯托时代的伊比利亚中部地区,这是一个具有有限考古遗址的地区.
- 这些发现支持了中部伊比利亚和伊比利亚系统范围是显著障碍的假设.
- 该模型的灵活性允许结合先前的知识和非地形适应性变量 (例如,水,游戏).
结论:
- 在研究过去的流动性方面,DISPERSCA为静态的最低成本路径模型提供了一个动态的替代方案.
- 该模型成功地识别了在考古数据稀缺的地区潜在的景观障碍.
- 未来的修改可以通过包括地形成本以外的因素来增强现实性,从而改善我们对狩猎采集者分散的理解.
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