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[转载]IEEE TFS主编Jon Garibaldi即将做客2018年第一期怀德海荣誉讲座

已有 2026 次阅读 2018-10-16 10:01 |系统分类:博客资讯|文章来源:转载

 

2018年第一期怀德海荣誉讲座

The Alfred North Whitehead Laureate Lectures


由怀德海智能学院主办,中国科学院自动化研究所复杂系统管理与控制国家重点实验室、青岛智能产业技术研究院承办的2018年第一期怀德海荣誉讲座将于10月18日下午在北京举行。本期嘉宾邀请到英国诺丁汉大学计算机科学系Jonathan Garibaldi教授,报告主题为Variation, Learning and Being Human”。讲座将由中国科学院自动化研究所复杂系统管理与控制国家重点实验室主任、青岛智能产业技术研究院院长王飞跃教授主持。


Jonathan Garibaldi教授于1984年毕业于英国布里斯托尔大学(Bristol University,UK)物理系,并在1990年和1997年分别获英国普利茅斯大学(University of Plymouth,UK)智能系统理学硕士学位和博士学位。他是英国诺丁汉大学计算机科学系的负责人,领导智能建模与分析(IMA)研究小组,并且是高级数据分析中心(ADAC)的创始人。他的主要研究兴趣是医学领域的建模不确定性和人工推理变异。他在模糊集与系统以及实际应用领域作出了许多贡献。Garibaldi教授发表了200余篇关于模糊系统和智能数据分析的论文,目前是IEEE模糊系统汇刊(IEEE Transactions on Fuzzy Systems)的主编。他在许多国际性的委员会任职,如FUZZ-IEEE,WCCI,EUROandPPSN。


主持人:王飞跃

时间:20181018

地点:北京市朝阳区大望京公园西侧2号楼中航资本大厦十三层


报告题目


Variation, Learning and Being Human

 

报告人


 Prof. Jonathan Garibaldi

Head of School of Computer Science at the University of Nottingham, UK

Editor-in-Chief of IEEE TRANSACTIONS ON FUZZY SYSTEMS

 

报告摘要


Alan Turing proposed his famous test for artificial intelligence in 1950, proposing that indistinguishability (the inability to detect difference between a computer and a human) could be used to determine artificial intelligence. However, humans make mistakes - so presumably an artificially intelligent computer would also. However, in the context of expert systems, making mistakes is not considered to be useful. In this lecture, I will discuss the relationship between variation in decision making (including how people will sometimes vary in their own decision making), and incorporating variation into computer expert systems. In doing so, I will also cover how variation is needed for learning to take place, before concluding with some thoughts about artificial intelligence and consciousness.

 

报告人简介


Professor Jonathan M. Garibaldi received the B.Sc (Hons) degree in Physics from Bristol University, UK in 1984, and the M.Sc. degree in Intelligent Systems and Ph.D. degree from the University of Plymouth, UK in 1990 and 1997, respectively. He is Head of School of Computer Science at the University of Nottingham, UK, leads the Intelligent Modelling and Analysis (IMA) Research Group, and is Founder of the Advanced Data Analysis Centre (ADAC). His main research interests are modelling uncertainty and variation in human reasoning, particularly in medical domains. He has made many theoretical and practical contributions in fuzzy sets and systems, and in real-world applications. Prof. Garibaldi has published over 200 papers on fuzzy systems and intelligent data analysis, and is current Editor-in-Chief of IEEE Transactions on Fuzzy Systems (since Jan 2017). He regularly serves on committees of leading international conferences, such as FUZZ-IEEE, WCCI, EURO and PPSN.



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