抄録
To realize large scale socially embedded systems, this paper proposes a multiagent-based participatory design that consists of steps called 1) participatory simulation, where scenario-guided agents and human-controlled avatars coexist in virtual space and jointly perform simulations, and 2) augmented experiment, where an experiment is performed in real space by human subjects and scenario-guided extras. In this methodology, we use production rules to describe agent models for approximating users, and multiagent scenarios to describe interaction models among services and their users. To learn agent and interaction models incrementally from simulations and experiments, we establish the participatory design loop with deductive machine learning technologies.
| 元の言語 | English |
|---|---|
| ホスト出版物のタイトル | Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems |
| ページ | 123-125 |
| ページ数 | 3 |
| DOI | |
| 出版物ステータス | Published - 2006 12 1 |
| 外部発表 | Yes |
| イベント | Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS - Hakodate, Japan 継続期間: 2006 5 8 → 2006 5 12 |
出版物シリーズ
| 名前 | Proceedings of the International Conference on Autonomous Agents |
|---|---|
| 巻 | 2006 |
Conference
| Conference | Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS |
|---|---|
| 国 | Japan |
| 市 | Hakodate |
| 期間 | 06/5/8 → 06/5/12 |
Fingerprint
ASJC Scopus subject areas
- Engineering(all)
これを引用
Multiagent simulation meets the real world. / Ishida, Toru.
Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems. 2006. p. 123-125 (Proceedings of the International Conference on Autonomous Agents; 巻 2006).研究成果: Conference contribution
}
TY - GEN
T1 - Multiagent simulation meets the real world
AU - Ishida, Toru
PY - 2006/12/1
Y1 - 2006/12/1
N2 - To realize large scale socially embedded systems, this paper proposes a multiagent-based participatory design that consists of steps called 1) participatory simulation, where scenario-guided agents and human-controlled avatars coexist in virtual space and jointly perform simulations, and 2) augmented experiment, where an experiment is performed in real space by human subjects and scenario-guided extras. In this methodology, we use production rules to describe agent models for approximating users, and multiagent scenarios to describe interaction models among services and their users. To learn agent and interaction models incrementally from simulations and experiments, we establish the participatory design loop with deductive machine learning technologies.
AB - To realize large scale socially embedded systems, this paper proposes a multiagent-based participatory design that consists of steps called 1) participatory simulation, where scenario-guided agents and human-controlled avatars coexist in virtual space and jointly perform simulations, and 2) augmented experiment, where an experiment is performed in real space by human subjects and scenario-guided extras. In this methodology, we use production rules to describe agent models for approximating users, and multiagent scenarios to describe interaction models among services and their users. To learn agent and interaction models incrementally from simulations and experiments, we establish the participatory design loop with deductive machine learning technologies.
UR - http://www.scopus.com/inward/record.url?scp=34247228685&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34247228685&partnerID=8YFLogxK
U2 - 10.1145/1160633.1160652
DO - 10.1145/1160633.1160652
M3 - Conference contribution
AN - SCOPUS:34247228685
SN - 1595933034
SN - 9781595933034
T3 - Proceedings of the International Conference on Autonomous Agents
SP - 123
EP - 125
BT - Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems
ER -