CIF: Small: Networks: Evolution, Learning and Social Norms

CIF：小型：网络：进化、学习和社会规范

• 批准号: 1524417
• 负责人: Mihaela van der Schaar
• 金额: $ 48.26万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1524417&HistoricalAwards=false
• 关键词: CIF; Small; Networks; Evolution; Learning

Much of society is organized in networks, be they enterprise, scientific, education, societal, social, economic, etc. This project aims to study how networks evolve, which networks emerge, how information about the individuals in the network affect the evolution and the eventual shape of the network and conversely, how the evolution of the network affect learning about the individuals in the network. Closely related issues are how the evolution and the shape of the network affect the functioning of the network, and what social norms promote the formation and maintenance of well-functioning of networks. This research project will enable us to better understand, monitor, design, operate and secure networks of many kinds. In particular, this research will help design new policies for creating a safer and more creative Internet.A sizeable network science literature studies networks that have already formed; a smaller literature, mainly in microeconomics, studies the formation of networks---but makes heroic assumptions (e.g., homogeneous agents/entities, complete information about other agents) that deviate from reality. Neither the network science literature nor the microeconomics literature takes into account that agents behave strategically in deciding what information to consume, produce and share (in addition to deciding what links to form/maintain/break) and that agents begin with incomplete information about others (i.e., they must learn about others). As a result, neither network science nor microeconomics provides a useful methodology for understanding, predicting and guiding the formation (and evolution) of real networks and the consequences of network formation. The overarching goal of this research project is to develop such a methodology. The research plan will take into account that agents behave strategically and that they begin with incomplete information about each other and thus must learn over time what information to produce and consume, and which connections to form and maintain and which to break. Thus, agents? learning and the network structure coevolve over time. A distinguishing feature of the current project is the application of social norms to understand and promote the evolution and well-functioning of networks.

无论是企业，科学，教育，社会，社会，经济等》中，社会的大部分地区都是在网络中组织的。该项目旨在研究网络发展的方式，网络出现的哪些网络，网络中有关网络个人的信息如何影响进化和网络的最终形状，相反，网络的演变如何影响网络中个人的学习。 紧密相关的问题是网络的演变和形状如何影响网络的功能，以及社会规范促进网络良好功能的形成和维护。该研究项目将使我们能够更好地理解，监视，设计，操作和安全的网络多种多种网络。 特别是，这项研究将有助于设计新的政策，以创建更安全，更具创造力的互联网。一项庞大的网络科学文献研究网络已经形成。较小的文献，主要是在微观经济学上，研究网络的形成 - 但使英勇的假设（例如，均匀的代理/实体，有关其他代理的完整信息）偏离了现实。网络科学文献和微观经济学文献都没有考虑到代理商在决定要消费，生产和共享的信息方面行事（除了确定形成/维护/折断的链接外），并且代理商以对他人的不完整信息开头（即，他们必须了解他人）。结果，网络科学和微观经济学都没有提供一种有用的方法来理解，预测和指导真实网络的形成（和进化）以及网络形成的后果。该研究项目的总体目标是开发这种方法。该研究计划将考虑到代理商的战略性行为，并从彼此之间的不完整信息开始，因此必须随着时间的流逝而学习要生成和消费的信息，以及要形成和维护哪些联系以及打破哪些联系。因此，代理商？随着时间的流逝，学习和网络结构会逐步发展。当前项目的一个显着特征是应用社会规范来理解和促进网络的发展和功能良好。