Computational Models of State Formation

状态形成的计算模型

• 批准号: 9907257
• 负责人: Robert Reynolds
• 金额: $ 29.64万
• 依托单位: Wayne State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-01 至 2003-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9907257&HistoricalAwards=false
• 关键词: Computational; Models; State; Formation

A state is among the most sophisticated and powerful structures that has emerged from the social evolution process. The processes by which complex social entities have emerged from lower level social structures and their supporting economies have long been of prime interest to researchers. The goal of this project is to produce a large-scale knowledge-based computational model of the origins of the Zapotec State, centered at Monte Alban, in the Valley of Oaxaca, Mexico. While archaic states have emerged in various parts of the world, the relative isolation of the valley has allowed the process of social evolution to be more visible there. To this end, extensive surveys of the valley have been made by the Oaxaca Settlement Survey in the 1970's and 1980's. The locations and features of over 3,000 archaeological sites have been documented. These data and the extracted knowledge are used here to construct a distributed, knowledge-based model of state formation in the valley. The model is then used to test various hypotheses concerning the emergence of complex social systems. These hypotheses include questions about the impact of chiefly cycling, hydraulic despotism, social circumscription, and strategies for territorial expansion on state formation.

国家是社会进化过程中出现的最复杂、最强大的结构之一。复杂的社会实体从较低层次的社会结构及其支持经济中出现的过程一直是研究人员的主要兴趣。这个项目的目标是产生一个大规模的基于知识的计算模型的起源Zapotec国家，集中在蒙特阿尔班，在瓦哈卡，墨西哥谷。虽然世界各地都出现了古老的国家，但山谷的相对孤立使社会进化的过程在那里更加明显。为此，瓦哈卡定居点调查局在20世纪70年代和80年代对该山谷进行了广泛的调查。3，000多个考古遗址的位置和特征已被记录在案。这些数据和提取的知识在这里被用来构建一个分布式的，基于知识的模型，在山谷中的状态形成。然后，该模型被用来测试各种假设的出现，复杂的社会系统。这些假设包括主要是循环，水力专制，社会界限和国家形成的领土扩张战略的影响的问题。