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IAS 2010


HIS 2010 - Plenary Speakers

Plenary Talk 1

On the Fusion of Soft Information

Ronald Yager
Iona College, USA

Abstract: We discuss the nature and representation of soft information using granular and other hybrid technologies.  We discuss technologies for fusing and aggregating this type of knowledge.  We consider the problem of fusing soft information with hard information. Methodologies for formalizing the instructions on how to fuse information are described. We look at learning as a type of fusion.

Biography: Ronald R. Yager has worked in the area of machine intelligence for over twenty-five years. He has published over 500 papers and fifteen books. He was the recipient of the IEEE Computational Intelligence Society Pioneer award in Fuzzy Systems. Dr. Yager is a fellow of the IEEE, the New York Academy of Sciences and the Fuzzy Systems Association. He was given a lifetime achievement award by the Polish Academy of Sciences for his contributions. He served at the National Science Foundation as program director in the Information Sciences program. He was a NASA/Stanford visiting fellow and a research associate at the University of California, Berkeley. He has been a lecturer at NATO Advanced Study Institutes. He has been a distinguished honorary professor at the Aalborg University Esbjerg Denmark. He is an affiliated distinguished researcher at the European Centre for Soft Computing. He received his undergraduate degree from the City College of New York and his Ph. D. from the Polytechnic University of New York. Currently, he is Director of the Machine Intelligence Institute and Professor of Information Systems at Iona College. He is editor and chief of the International Journal of Intelligent Systems. He serves on the editorial board of numerous technology journals including the IEEE Transactions on Fuzzy Systems, Neural Networks, Data Mining and Knowledge Discovery, IEEE Intelligent Systems, Fuzzy Sets and Systems, the Journal of Approximate Reasoning and the Journal of Group Decision Making and Negotiations. He has made fundamental contributions in decision making under uncertainty and the fusion of information. Much of his work has been transitioned into commercial applications.

Plenary Talk 2

Designing Social Simulation Using Actual Data

Tadahiko Murata
Faculty of Informatics, Kansai University, Japan
Research Institute for Socionetwork Strategies, Kansai University, Japan
Computation Institute, University of Chicago, USA

Abstract: Aims of social simulation include to predict a future, to find reasons of current situations, or to notice problems of a target society. Recently this research field attracts a lot of researchers from computer science, artificial intelligence, economics, political science, and son on. However, most simulations are not based on actual data. That is, models of target societies are not tuned or identified by the actual data collected from their target societies. This is because the cost of collecting actual data from their target societies is expensive. Therefore, most researches tend to show their simulation results by varying values of parameters in their model and explain several scenarios according to the corresponding parameter values. From these simulation results, we are able to learn several lessons about the nature of target societies, though, it is difficult to see a quantitative results or consequences for them. In this talk, we show several trials to design and develop models of social simulations based on actually collected data from target societies. We employ multi-agent simulation models for our social simulations, and show simulation results for polling place assignment, or assessment for hospital scrap-and-build. We also show an approach for collecting actual data within the budget by using a web-based approach.

Biography: Tadahiko Murata received his Ph. D in 1997 from Osaka Prefecture University, Japan. After working for Ashikaga Institute of Technology as Assistant Professor, he joined the Faculty of Informatics, Kansai University as Associate Professor in 2001. Since 2009, he became Professor of that faculty. He directs Policy Grid Computing Laboratory, Kansai University funded by Japanese Government from 2005 to 2010. He was an Associate Editor of IEEE Transaction on Systems, Man, and Cybernetics, Part B, and Review of Socionetwork Strategies published from Springer. He was Chair of Technical Committee of Soft Computing, IEEE SMC Society, and is currently Chair of Technical Committee of Aware Computing, IEEE SMC Society, and Japan Chapter Chair of IEEE SMC Society. He received the Best Presentation Award in 1997 and 2005 from Institute of Systems, Control and Information Engineers, the Most Active Technical Committee Award in 2006 from IEEE SMC Society, the Best Presentation Award in 2009 in the International Workshop on Aware Computing. His research interest includes artificial intelligence, parallel and distributed computing, and social simulations.

Organized by Machine Intelligence Research Labs (MIR Labs) - 2009 - 2010