Development of user-adaptive value system of learning function using interactive EC

Yuki Suga, Shigeki Sugano, Yoshinori Ikuma, Tetsuya Ogata

研究成果

抄録

Our goal is to create a user-adaptive communication-robot. We are developing a system for evaluating human-robot interactions. Although such evaluation is indispensable for learning algorithms, users' preferences are too difficult to model because they are subjective. In this study, we used the interactive evolutionary computation (IEC) to configure the value system of a learning communicationrobot. The IEC is a genetic algorithm whose fitness function is performed by the user. In our experiment, we encoded the values of sensors (reward or punishment) into genes, and subjects interacted with the learning robot. Through the interaction, the subjects evaluated the robot by touching its sensors, and the robot learned appropriate combinations between input and output. Afterward, the subjects gave their scores to the experimenter, and the scores were regarded as the fitness values of the corresponding genes. These sequences were continued until the 4 generation, and then the subjects compared three of their best genes and two of the experimenter's. We found that the user-adaptive value system is suitable for the communication-robot.

本文言語English
ホスト出版物のタイトルProceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
1 PART 1
DOI
出版ステータスPublished - 2008 12 1
外部発表はい
イベント17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of
継続期間: 2008 7 62008 7 11

出版物シリーズ

名前IFAC Proceedings Volumes (IFAC-PapersOnline)
番号1 PART 1
17
ISSN(印刷版)1474-6670

Conference

Conference17th World Congress, International Federation of Automatic Control, IFAC
国/地域Korea, Republic of
CitySeoul
Period08/7/608/7/11

ASJC Scopus subject areas

  • 制御およびシステム工学

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