报告题目：Three-way decision and explainable artificial intelligence
报告人：加拿大里贾纳大学姚一豫教授
报告时间：2022年11月6日（周日）上午  9:00点
报告地点：腾讯会议（会议号：372-975-996）
主持人：李天瑞教授、刘盾教授

报告摘要：
      Three-way decision concerns thinking, problem-solving, and computing in threes.  A triad of three things is a basic structure underlying three-way decision.   The notion of SMV (Symbols-Meaning-Value) spaces is a basic triadic structure to explain what and how we humans and intelligent machines see, know, and do. By combining SMV and the triad of WHY-WHAT-HOW, we can build a 3-by-3 model for constructing explanation in explainable artificial intelligence (XAI).
报告人简介：
      Yiyu Yao is a professor of computer science with the Department of Computer Science, University of Regina, Canada. His research interests include three-way decision, granular computing, rough sets, formal concept analysis, information retrieval, data mining, and Web intelligence. He proposed a theory of three-way decision, a decision-theoretic rough set model, and a triarchic theory of granular computing. He has published over 500 papers.
Personal homepage: http://www2.cs.uregina.ca/~yyao/