Agent-Based Models of Social Interaction and the Emergence of Multi-Agent Institutions

该奖项支持使用基于主体的模型来研究社会中多主体机构的出现，并根据数据测试这些模型。这里采用的计算方法脱离了完全理性模型，而倾向于有界理性模型和非平衡动力学。这些模型本质上关注社会互动，以及制度（以及社会规范和从众效应）从这些互动中产生的方式。将开发五种模型，包括：从公元800年到公元1300年消失的长屋山谷Anasazi；犯罪率;退休决策;企业规模分布；以及管理机构。这些模型将推进关于多智能体系统、仿真和人类学的科学知识，并有助于制定有关犯罪、退休和组织行为的政策。

This award supports the use of agent-based models to study the emergence of multi-agent institutions in society and to test these models against data. The computational approach taken here departs from perfectly rational models in favor of boundedly rational models and non-equilibrium dynamics. The models are inherently concerned with social interactions and the ways in which institutions (and social norms and conformity effects) emerge out of those interactions. Five models will be developed including: the Long House Valley Anasazi from 800 AD to their disappearance in 1300 AD; crime rates; retirement decision-making; the distribution of firm sizes; and institutions of governance. These models will advance scientific knowledge about multi-agent systems, simulation and anthropology as well as contribute to policy-making about criminal, retirement and organizational behaviors.