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.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-540-71009-7_16
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71008-0
Online ISBN: 978-3-540-71009-7
eBook Packages: Computer ScienceComputer Science (R0)