Presentation 2009-03-03
Modeling Organizational Learning of a Community through Learning Classifier System
Yuji NAKAGAWA, Takashi YAMADA, Takao TERANO, Atsushi YOSHIKAWA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) It is hard to extract and analyze knowledge flows for organization management. This paper proposes a multi-agent simulation model to analyze the dynamic knowledge flows. In this model I try to replicate the mechanism of knowledge flows focusing on personalization Strategy.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Personalization Strategy / Learning Classifier System / Maze Problem / Knowledge Flow
Paper # AI2008-73
Date of Issue

Conference Information
Committee AI
Conference Date 2009/2/23(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Modeling Organizational Learning of a Community through Learning Classifier System
Sub Title (in English)
Keyword(1) Personalization Strategy
Keyword(2) Learning Classifier System
Keyword(3) Maze Problem
Keyword(4) Knowledge Flow
1st Author's Name Yuji NAKAGAWA
1st Author's Affiliation Tokyo Institute of Technology()
2nd Author's Name Takashi YAMADA
2nd Author's Affiliation Tokyo Institute of Technology
3rd Author's Name Takao TERANO
3rd Author's Affiliation Tokyo Institute of Technology
4th Author's Name Atsushi YOSHIKAWA
4th Author's Affiliation Tokyo Institute of Technology
Date 2009-03-03
Paper # AI2008-73
Volume (vol) vol.108
Number (no) 456
Page pp.pp.-
#Pages 6
Date of Issue