Abstract
This chapter features seven out of nine awarded papers, selected from JSAI 2004 — the 18th annual conference of Japan Society for Artificial Intelligence. These awarded papers are truly excellent, as they were chosen out of over 290 papers, with the selection rate just about three per cent, and the selection involved approximately seventy reviewers. In artificial intelligence and other related fields, empirical methods have recently been rather prevalent in comparison with theoretical approaches. However, all these awarded papers are both theoretically sound and practically feasibile. Synopses of the seven papers follow, with short comments for the award.
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© 2007 Springer Berlin Heidelberg
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Hasida, K. (2007). Award-Winning Papers (Overview). In: Sakurai, A., Hasida, K., Nitta, K. (eds) New Frontiers in Artificial Intelligence. JSAI JSAI 2003 2004. Lecture Notes in Computer Science(), vol 3609. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71009-7_16
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DOI: https://doi.org/10.1007/978-3-540-71009-7_16
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-540-71009-7
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