@article{oai:uec.repo.nii.ac.jp:00009123,
 author = {西村, 一彦 and Nishimura, Kazuhiko and 中川, 博之 and Nakagawa, Hiroyuki and 田原, 康之 and Tahara, Yasuyuki and 大須賀, 昭彦 and Ohsuga, Akihiko},
 issue = {1},
 journal = {人工知能学会論文誌, Transactions of the Japanese Society for Artificial Intelligence},
 month = {Jan},
 note = {Autonomic systems aim to reduce the configuration, operational, and maintenance tasks of large distributed applications. In order to implement autonomic systems, several approaches, such as Self-managed system and Autonomic Computing, have been proposed. This paper describes an architectural approach for autonomic systems, which is based on a three-layered model. In the uppermost layer, the planning function, which is an important part of this model, has to efficiently make an effective sequence of operational services to satisfy goals. In this paper, we propose an automated planning algorithm using hierarchy planning technique. Our planner composes the sequence of operational services in the most abstract space, and then it successively embodies the detail of them. The critical values, which determine the abstract space, are automatically discovered from the knowledge of operational services. We also present the experimental results to show the effectiveness of our method.},
 pages = {107--115},
 title = {自律システム実現に向けたアーキテクチャの構築},
 volume = {26},
 year = {2011},
 yomi = {ニシムラ, カズヒコ and ナカガワ, ヒロユキ and タハラ, ヤスユキ and オオスガ, アキヒコ}
}