A computational group dialogue model with organizational learning

Author

Takadama, Keiki ; Hajiri, Koichiro ; Nomura, Tatsuya ; Okada, Michio ; Shinohara, K. ; Nakasuka, Shinichi

Author_Institution

ATR Human Inf. Process. Res. Labs., Kyoto, Japan

Volume

1

fYear

1997

fDate

28-31 Oct 1997

Firstpage

174

Abstract

This paper proposes a computational group dialogue model with organizational learning in which the agents adapt to the groups through communication. As dementia becomes a serious social problem, it is necessary to apply the model which has a mechanism of adaptation to the groups of dementia patients, in order that patients have the chance to adapt to the groups through communication. In the simulations, the agents communicate with other agents in the groups and learn their own dialogue strategies for adaptation to the groups, establishing their own opinions through communication

Keywords

adaptive systems; cooperative systems; learning (artificial intelligence); software agents; adaptation; agents; computational group dialogue model; dementia; dialogue strategies; organizational learning; patients; self organization; simulation; social problem; Computational modeling; Optical wavelength conversion; Programmable control; Robots; Tin;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4253-4

Type

conf

DOI

10.1109/ICIPS.1997.672760

Filename

672760