Satoru Kawai
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Satoru Kawai,
a Japanese physicist, computer scientist and professor at Department of Informatics, Graduate School Program of Informatics, The Open University of Japan, and before until 2007 affiliated with the University of Tokyo. He holds a B.Sc. and M.Sc. in physics in 1967 and 1969 respectively, and a Ph.D. in 1976, all degrees from University of Tokyo. His research interests include various topics in computer science, such as computer graphics, programming languages [2] , theory of computation, and construction and selection of evaluation patterns in computer games and general game playing.
Selected Publications
1980 ...
- Teruo Hikita, Satoru Kawai (1980). Parallel Sieve Methods for Generating Prime Numbers. IFIP Congress
- Satoru Kawai (1982). On the topology preservation property of local parallel operations. Computer Graphics and Image Processing, Vol. 19, Nos. 1, 3
1990 ...
- Tomihisa Kamada, Satoru Kawai (1991). A General Framework for Visualizing Abstract Objects and Relations. ACM Transactions on Graphics, Vol. 10, No. 1
- Ken Nakayama, Kazunori Yamaguchi, Satoru Kawai (1997). I-Regular Expression: Regular Expression with Continuous Interval Constraints. CIKM 1997
2000 ...
- Tomoyuki Kaneko, Kazunori Yamaguchi, Satoru Kawai (2000). Compiling Logical Features into Specialized State-Evaluators by Partial Evaluation, Boolean Tables and Incremental Calculation. PRICAI 2000
- Tomoyuki Kaneko, Kazunori Yamaguchi, Satoru Kawai (2001). Automatic Feature Construction and Optimization for General Game Player. 6th Game Programming Workshop, Hakone
- Tomoyuki Kaneko, Kazunori Yamaguchi, Satoru Kawai (2002). Pattern Selection Problem for Automatically Generating Evaluation Functions For General Game Player. 7th Game Programming Workshop, Hakone
- Tomoyuki Kaneko, Kazunori Yamaguchi, Satoru Kawai (2003). Automated Identification of Patterns in Evaluation Functions for General Game Players. Advances in Computer Games 10
- Shogo Takeuchi, Tomoyuki Kaneko, Kazunori Yamaguchi, Satoru Kawai (2007). Visualization and Adjustment of Evaluation Functions Based on Evaluation Values and Win Probability. AAAI 2007, pdf