Keynote Speakers
We are pleased to announce that we have secured two world-class keynote speakers for IDT-09, namelyProfessor Toyoaki Nishida
Kyoto University, Japan
and
Professor Junzo Watada
Waseda University
Abstracts and biographical details are provided below.
Social Intelligence Design for Intelligent Decision Technologies
Professor Toyoaki Nishida
Kyoto University, Japan
Abstract
Social Intelligence Design addresses understanding and augmentation of social intelligence resulting from bilateral interaction of intelligence attributed to an individual to manage relationship with other agents and act wisely in a social situation and that attributed to a collection of individuals to manage complexity and learn from experiences as a function of the well-designed social structure. The scope of Social Intelligence Design encompasses a broad range of social intelligence underlying such social interactions as fast interaction loops in the small, dynamic collaboration in the middle, and emerging social networks in the large. Social Intelligence Design as an interdisciplinary area of research sheds light on tacit dimensions and inquires about how socially desirable properties, such as natural interaction, ambient intelligence, global teamwork, leadership, or conviviality, can be realized as a result of embedding and assessing intelligent communication technologies in the society. In this talk, I will first present a structured view of Social Intelligence Design. Then, I will survey major research issues of Social Intelligence Design at each level of social granularity and highlight key techniques. Finally, I will discuss how approaches in Social Intelligence Design might contribute to Intelligent Decision Technologies.Biographical Notes
Toyoaki Nishida is Professor at the Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University. He received the B.E., the M.E., and the Doctor of Engineering degrees from Kyoto University in 1977, 1979, and 1984, respectively. His research centers on artificial intelligence and human computer interaction. He founded an international workshop series on social intelligence design in 2001. He opened up a new field of research called Conversational Informatics in 2003. Currently, he leads several projects on social intelligence design and conversational informatics. His representative work may be found in Nishida (ed.) Conversational Informatics -- An Engineering Approach, Wiley, 2007. He serves for numerous academic activities, including a vice president of JSAI (Japanese Society for Artificial Intelligence), an associate editor of the AI & Society journal, an area editor (Intelligent Systems) of the New Generation Computing journal, a technical committee member of Web Intelligence Consortium, the IFIP TC12 representative from Japan, a director of Information Processing Society of Japan, and an associate member of the Science Council of Japan.Advanced Paradigms in Decision Making under Hybrid Uncertainty
Junzo Watada
Waseda University
Abstract
Decision Making is one of the most important activities that humans take within wide range of activities such as economy, management, politics, even our daily lives. We can clasify it (1) from objective or fields, (2) from methodology employed and (3) from circumstance of decision making. From consideration of H.A. Simon's classification; we used to encounter various unstructured and semi-structured problems in our decision making. At that time we have to employ our experience or cases in the past even if such methods cannot assure us to have any optimal solution. When these make us reach some sufficient decision making, we would be satisfied of them. One of the most attractive methods is to employ our intelligence. But sometimes our intelligence does not work well.We will discuss hybrid uncertain environment which we encounter in decision making. That is, it is not only probabilistic situation but also fuzzy or vague circumstance. At that time we have to employ some tool to handle under such hybrid uncertainty. Fuzzy random variables are initially propoased by H. Kwakernak in 1978. Let us consider such situation in decision making. In order to make the discussion concrete we will employ the recent situation of regression analysis.
Biographical Notes
Dr. Junzo Watada received his B.S. and M.S. degrees in electrical engineering from Osaka City University, Japan, and Dr. of Eng. degree through the research on fuzzy multivariate analysis from Osaka Prefecture University, Japan.
He is a Professor of Knowledge Engineering, Soft Computing and Management Engineering at the Graduate School of Information, Production & Systems, the Waseda University since 2003, after a professor of Human Informatics and Knowledge Engineering, at the School of Industrial Engineering, the Osaka Institute of Technology, Japan. Also Dr. Watada gave a lecture on Management Information Systems for 8 years at Faculty of Business Administration, Ryukoku University at Kyoto. Before moving to Academia, he was with Fujitsu Co. Ltd. as a senior systems engineer for 7 years.
His research interests includes decision making, and management of technology and engineering as well as fuzzy system methodologies, automata theory, text and web mining, grid computer systems, decision support systems, experts systems, DNA computing, data analysis, macro-ergonomics, etc.. Recently he works actively on real options based evaluation and decision making as well as financial engineering. He published around 400 academic papers of journals and international proceedings.
He was the President of Bio-Medical Fuzzy Systems Association (2001-2003) and the Vice President of Japan Society for Fuzzy Theory and Systems for two years (1993-1995). Dr. Watada was a board member of Japan Society for Fuzzy Theory and Systems, and also serve as an advisory board member for several international and domestic societies and also an editorial board member for international and domestic journals including the principal editor of BSCHS and ICIC express letters.