Agent-Based Model Toward Organizational Computing: From Organizational Learning to Genetics-Based Machine Learning

Keiki Takadama; Takao Terano; Katsunori Shimohara

doi:10.1109/ICSMC.1999.825329

論文・著書情報

タイトル

和文:
英文:	Agent-Based Model Toward Organizational Computing: From Organizational Learning to Genetics-Based Machine Learning

著者

和文:	高玉圭樹, 寺野隆雄, 下原勝憲.
英文:	Keiki Takadama, Takao Terano, Katsunori Shimohara.

言語

English

掲載誌/書名

和文:
英文:

巻, 号, ページ

pp. 604-609

出版年月

1999年10月

出版者

和文:
英文:

会議名称

和文:
英文:	1999 IEEE International Conference on Systems, Man, and Cybernetics, 1999 (IEEE SMC '99)

開催地

和文:
英文:	Tokyo, Japan

DOI

https://doi.org/10.1109/ICSMC.1999.825329

アブストラクト

Explores agent-based approaches toward organizational computing models by using an organizational-learning oriented classifier system (OCS) and investigates problems in the conventional definitions/models of OL. A detailed analysis of the relationship between OCS and conventional definitions/models has revealed that (1) agent-based approaches toward organizational computing models provide detailed understanding of organizations; (2) conventional definitions/models of OL lack the concrete relationship between individual and organization.

Home

各種検索

サポート

T2R2について

関連リンク

論文・著書情報