Front matter

{"title":"Front matter","authors":"","doi":"10.1525/jer.2007.2.4.fm","DOIUrl":null,"url":null,"abstract":"In this talk, I will present on the challenges involved in conducting experiments with humans in the field of computational intelligence and results on human-like intelligence. Examples will be drawn from a number of experiments that we conducted in my cognitive engineering laboratory. Some of these experiments were as complex as recording and analysing psycho-physiological, eye tracking, speech and language data, while others involved the use of machine learning methods to learn human behaviour. Whether we attempt to understand human behavior or build machines that are human-like, the validity of the results rest on our ability to overcome the challenges in human-based experiments. Biography Prof. Dr. Hussein Abbass is a Professor of Information Technology at the University of New South Wales, Canberra Campus, Australia. He is a Fellow of the Operational Research Society (UK), a fellow of the Australian Computer Society, and a Senior Member of the IEEE. Prof. Abbass is an Associate Editor of the IEEE Transactions on Evolutionary Computation, the IEEE Computational Intelligence Magazine, the American Institute of Mathematical Sciences Journal of Industrial and Management Optimization, and three other journals. Prof. Abbass’s work integrates cognitive science, operations research and artificial intelligence. He was the General Chair of the 2012 IEEE World Congress on Computational Intelligence held in Brisbane June 2012, which is the Premier and Largest event by the IEEE Computational Intelligence Society.","PeriodicalId":242647,"journal":{"name":"2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1525/jer.2007.2.4.fm","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

In this talk, I will present on the challenges involved in conducting experiments with humans in the field of computational intelligence and results on human-like intelligence. Examples will be drawn from a number of experiments that we conducted in my cognitive engineering laboratory. Some of these experiments were as complex as recording and analysing psycho-physiological, eye tracking, speech and language data, while others involved the use of machine learning methods to learn human behaviour. Whether we attempt to understand human behavior or build machines that are human-like, the validity of the results rest on our ability to overcome the challenges in human-based experiments. Biography Prof. Dr. Hussein Abbass is a Professor of Information Technology at the University of New South Wales, Canberra Campus, Australia. He is a Fellow of the Operational Research Society (UK), a fellow of the Australian Computer Society, and a Senior Member of the IEEE. Prof. Abbass is an Associate Editor of the IEEE Transactions on Evolutionary Computation, the IEEE Computational Intelligence Magazine, the American Institute of Mathematical Sciences Journal of Industrial and Management Optimization, and three other journals. Prof. Abbass’s work integrates cognitive science, operations research and artificial intelligence. He was the General Chair of the 2012 IEEE World Congress on Computational Intelligence held in Brisbane June 2012, which is the Premier and Largest event by the IEEE Computational Intelligence Society.
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在这次演讲中,我将介绍在计算智能领域进行人类实验所面临的挑战以及在类人智能方面的结果。我们将从我的认知工程实验室中进行的一些实验中抽取例子。其中一些实验非常复杂,包括记录和分析心理生理、眼动追踪、语音和语言数据,而另一些实验则涉及使用机器学习方法来学习人类行为。无论我们是试图理解人类行为还是制造类人机器,结果的有效性都取决于我们克服基于人类的实验挑战的能力。侯赛因·阿巴斯博士是澳大利亚新南威尔士大学堪培拉校区的信息技术教授。他是英国运筹学学会的会员,澳大利亚计算机学会的会员,以及IEEE的高级会员。Abbass教授是《IEEE进化计算学报》、《IEEE计算智能杂志》、《美国数学科学学会工业与管理优化杂志》和其他三种期刊的副主编。Abbass教授的工作整合了认知科学、运筹学和人工智能。他是2012年6月在布里斯班举行的2012年IEEE世界计算智能大会的总主席,这是IEEE计算智能学会的首要和最大的活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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