Decentralized Decision-Making in Complex Network Systems

网络系统为当今社会和经济的运作提供了基础设施和基础。它们以多种形式出现，包括物理网络，如运输，通信和电力网络，以及更抽象的网络，如各种经济和金融网络以及社会和知识网络。这样的网络系统的特点是分散的决策，大规模的性质，不同的时间尺度，和不同的系统平衡概念。本课题研究以远程办公、智能交通系统、电子商务、知识网络等为背景，以交通、通信网络为基础的复杂网络系统。该项目旨在：发展这种复杂网络系统的理论，强调决策者的个人行为，并允许处理多个标准;构建算法解决这种系统，沿着收敛分析和计算机实现和数值实验;发展可视化技术来理解和描述行为，并将理论应用于复杂的知识网络;并进行实证分析。研究结果预计将具有广泛的跨学科影响力，并显着增加对我们社会和经济基础网络系统的理解，以实现预测和网络管理的目的。

Network systems provide the infrastructure and foundation for the functioning of today's societies and economies. They come in many forms and include physical networks such as transportation, communication, and power networks, as well as more abstract networks such as a variety of economic and financial networks and social and knowledge networks. Such network systems are characterized by decentralized decision-making, a large-scale nature, different time scales, and distinct system equilibrium concepts. This project studies complex network systems, consisting of the foundational systems of transportation and communication networks whose interplay is becoming increasingly important in the case of telecommuting, intelligent transportation systems, electronic commerce, and knowledge networks. The project aims to: develop a theory of such complex network systems, which emphasizes the individual behavior of the decision-makers and allows for the treatment of multiple criteria; construct algorithms for the solution of such systems, along with convergence analysis and computer implementation and numerical experimentation; develop visualization techniques to understand and depict the behavior, and apply the theory to complex knowledge networks; and conduct an empirical analysis. The results of the research are expected to have broad cross-disciplinary reach and to significantly add to the understanding of fundamental networks systems underlying our societies and economies for the purpose of both prediction and network management purposes.