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

社会的大部分组织在网络中，无论是企业，科学，教育，社会，社会，经济等，该项目旨在研究网络如何演变，网络出现，如何在网络中的个人信息影响网络的演变和最终的形状，反过来说，网络的演变如何影响网络中的个人的学习。 密切相关的问题是网络的演变和形状如何影响网络的功能，以及什么样的社会规范促进网络的形成和维持良好的功能。该研究项目将使我们能够更好地了解，监控，设计，操作和保护各种网络。 特别是，这项研究将有助于设计新的政策，创造一个更安全和更有创造力的互联网。一个相当大的网络科学文献研究已经形成的网络;一个较小的文献，主要是在微观经济学，研究网络的形成-但作出大胆的假设（例如，同质代理/实体，关于其他代理的完整信息）。网络科学文献和微观经济学文献都没有考虑到代理人在决定消费、生产和共享什么信息时的策略行为（除了决定形成/维持/断开什么链接之外），以及代理人开始时关于他人的信息不完整（即，他们必须了解其他人）。因此，无论是网络科学还是微观经济学都没有提供一种有用的方法来理解、预测和指导真实的网络的形成（和演化）以及网络形成的后果。本研究项目的总体目标是开发这样一种方法。研究计划将考虑到智能体的行为具有战略性，它们开始时对彼此的信息不完整，因此必须随着时间的推移学习生产和消费哪些信息，形成和维持哪些连接以及打破哪些连接。因此，代理商？学习和网络结构随着时间的推移而共同进化。目前项目的一个显著特点是应用社会规范来理解和促进网络的演变和良好运作。

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.