您位于: 首页 / Events / 美国密苏里科技大学Liu, Xiaoqing Frank教授报告:Online intelligent argumentation systems for collaborative decision support: issues, challenges, design, and applications

美国密苏里科技大学Liu, Xiaoqing Frank教授报告:Online intelligent argumentation systems for collaborative decision support: issues, challenges, design, and applications

Online intelligent argumentation systems for collaborative decision support: issues, challenges, design, and applications

事件详细信息

时间

2014-04-23
起始时间 13:30 结束时间 15:30

地点

1501

名字

把事件添加到日历

Abstract: Argumentation is an important and critical process in addressing social, financial, and business challenges. On-line argumentation systems are a significant type of social computing systems. They are very promising and show significant potentials in enabling wide participation in decision making process, decision rationale capturing, conflict resolution, and public policy development. In this talk, I will first present research issues, challenges, capabilities, applications, and benefits of on-line intelligent argumentation systems for collaborative decision support. I will then discuss design and case studies of our on-line intelligent argumentation system. Our intelligent argumentation and collaborative decision support project website is currently ranked as a top site by the GOOGLE search engine under search criteria “argumentation collaborative decision making software” out of millions of search results. Finally, I will focus on polarization detection and analysis in on-line argumentation.  In an argumentation process, participants tend to form groups, called polarization groups based on their opinions and exchange of arguments. Identification of argumentation polarization groups and their leaders becomes an important challenge which has not been addressed adequately in the past.  We will present a framework for detecting polarization groups in an argumentation process using a clustering algorithm. It is evaluated using an online argumentation data set produced using our system. The experimental results show that the framework works effectively for detection and analysis of on-line argumentation polarization. The argumentation polarization assessment provides decision makers with more information about polarization groups and their opinions towards given issues and it helps them to analyze post-decision impacts on individual polarization groups

Bio: Xiaoqing (Frank) Liu is currently a professor and a director of the McDonnell Douglass Foundation software engineering laboratory in the computer science department at the Missouri University of Science and Technology. He was an interim department chair of computer science at the University in 2013. He has been working on software engineering, social computing, service computing, requirements engineering, argumentation and collaborative systems, database, and computer science applications in power systems and advanced manufacturing since 1985. He served as a program committee chair of the 2008 IEEE International Conference on Computer Software and Applications and technical program committee chairs of the 2011, 2012, 2013, and 2014 annual International Conference on Collaboration Technologies and Systems. He has published more than 120 journal and conference papers and book chapters in the above areas. He has participated in more than twenty funded research projects or partnership as a principal investigator or co-principal investigator in the US.