HSD: Agent-Based Dynamics of Social Complexity: Modeling Adaptive Behavior and Long-Term Change in Inner Asia

中亚在欧亚大陆人类和社会动态史上发挥了重要的催化作用。这一制度产生了文明演变中出现的最大的领土政体(13世纪和14世纪的蒙古帝国)，以及当今全球化之前最大规模的经济(丝绸之路网络)。该项目将解决有关过去4500年来在内亚和欧亚世界体系中人类和社会对社会和环境挑战的动态反应的理论、方法和数据方面的基本问题。跨学科团队包括社会科学和计算科学的专业知识，包括政治学和国际关系、考古学、文化人类学、体质人类学、经济学、应用数学和计算机科学。该项目还包括与中亚考古和民族志专家以及欧洲帝国动态计算模型和丝绸之路网络模拟方面的专家进行的国际合作。研究人员将使用书面资料和三个考古项目的历时数据，这些数据来自横跨蒙古草原地带的南北交错带，以及面向对象的、基于代理的计算机模型，这些模型建立在现有的计算社会科学模型的基础上，并对现有的计算社会科学模型进行扩展，以在空间和时间上产生多尺度网络的出现。新的概念、模型和数据由建立在早期社会进化理论基础上的计算理论整合，将通过协调通常不相互作用的学科和主题来促进对人类和社会动力学的基本理解：人类学考古学、政治经济学和计算机科学。该项目的成果将在当代人类社会面临的严峻社会挑战中幸存下来，如全球变化、恐怖主义暴力或文化冲突等领域产生多重更广泛的影响。在这些领域，集体行动反应和明智的组织协调对于人类和社会在多个层面上的生存至关重要。教学影响将包括利用学科优势的跨学科科学框架，以及产生新的社会复杂性的计算模型。社会计算机模拟也有望提供创新和有洞察力的实验实验室。为美国和蒙古学生提供共享培训机会的可能性将存在。史密森学会国家自然历史博物馆的展览每年将有数百万参观者，由项目负责人带领学生参观。2005财年NSF人类和社会动力学竞赛(HSD)颁发的奖项支持这一项目。NSF的所有董事和办公室都参与了HSD竞赛和HSD奖项组合的协调管理。

Inner Asia played an essential catalytic role in the history of human and social dynamics in Eurasia. This system produced the largest territorial polity to emerge in the evolution of civilizations (the Mongol Empire of the 13th and 14th centuries) as well as the largest-scale economy (the Silk Road network) before present-day globalization. This project will address fundamental questions in theory, methodology, and data concerning human and social dynamic responses to social and environmental challenges in Inner Asia and the Eurasian world system over the past 4,500 years. The interdisciplinary team includes expertise from the social sciences and computational sciences, including political science and international relations, archaeology, cultural anthropology, physical anthropology, economics, applied mathematics, and computer science. This project also includes international collaborations with experts on Inner Asian archaeology and ethnography as well as European experts on computational models of empire dynamics and Silk Road network simulations. The researchers will use diachronic data from written sources and from three archaeological projects situated along a north-south transect spanning the Mongolian steppe zone as well as object-oriented, agent-based computer models that build upon and extend extant computational social science models to generate the emergence of multi-scale networks over space and time.The new concepts, models, and data integrated by an computational theory that builds on earlier theories of social evolution will advance basic understanding of human and social dynamics by synergizing disciplines and themes that normally do not interact: anthropological archaeology, political economy, and computer science. Results from this project will have multiple broader impacts in areas of surviving severe social challenges faced by contemporary human communities, such as global change, terrorist violence, or cultural conflicts. These are domains where collective action responses and intelligent organizational coordination are essential for human and social survival on multiple scales. Teaching impacts will include interdisciplinary scientific frameworks that exploit disciplinary excellence and computational models for generating emergent social complexity. Social computer simulations also are expected to provide innovative and insightful experimental laboratories. Possibilities will exits for shared training opportunities for U.S. and Mongolian students. An exhibit at the Smithsonian Institution's National Museum of Natural History will reach millions of visitors on an annual basis, with guided student tours by project leaders. An award resulting from the FY 2005 NSF-wide competition on Human and Social Dynamics (HSD) supports this project. All NSF directorates and offices are involved in the coordinated management of the HSD competition and the portfolio of HSD awards.