学术讲座: Multi-agent Solutions for Complex Systems【复杂系统的多代理解决方案】
时间：2019年11月11日 (星期一) 10:00 ~ 12:00
地点：数信大楼507学术报告厅
主讲：University of Wollongong，Professor Minjie Zhang
主办：数学与信息学院
参加对象：计算机类相关教师和研究生
报告人简介：Professor Minjie Zhang received her Bachelor of Computer Science degree from Fudan University, China in 1982 and PhD from the University of New England, Australia, in 1996. Upon completion of her PhD, she had worked as a lecturer at Edith Cowan University and at Newcastle University, respectively. She joined the University of Wollongong, Australia, as a senior lecturer in 2001 and was later promoted to associate professor and then full professor. Professor Zhang is currently the Director of Centre for Big Data Analytics and Intelligent Systems at the University of Wollongong. As the principal supervisor, she has successfully supervised 13 PhD students to completion. She is the winner of the “Vice Chancellor Award of the Best Research Supervision” from the University of Wollongong at 2013 and 2009. Professor Zhang has authored or co-authored over 250 research papers. Her research has been funded by the Australia Research Council (ARC). She has been the chair/co-chair of over 25 International conferences/workshops. Her research interests include multi-agent systems and their applications in complex domains, distributed artificial intelligence, smart modeling and simulation in complex systems, data mining and knowledge discovery, service-oriented systems, agent-based grid/cloud computing, and smart grid systems. Professor Zhang has edited 15 scholarly books with Springer and 5 special issues with reputable journals. She is a senior member of the IEEE and IEEE Computer Societ
报告摘要：A complex system is featured with a large number of interacting components (entities), whose relationships are complicated and aggregate activities are nonlinear and self-organized such as sensors, customers and cars in transport systems, producers and consumers in Smart Gird systems, grid providers and users in grid/cloud computing, service providers/consumers in service-oriented software engineering, as well as autonomous agents in market-based environments. Due to the autonomous decision making of each entity, complicated relationships and distributed manner of these components, complex systems are hard to be simulated or modelled by using traditional computational approaches due to complex relationships among system components, distributed features of resources, and dynamics of environments. This talk will introduce our current projects and our multi-agent solutions to solving challenging issues in complex system development, including multi-agent solutions for smart grid systems and multi-agent approaches for emergency managements.