| Project/Area Number |
23650075
|
|---|
| Research Category |
Grant-in-Aid for Challenging Exploratory Research
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Intelligent informatics
|
|---|
| Research Institution | Waseda University |
|---|
Principal Investigator |
|
|---|
| Co-Investigator(Renkei-kenkyūsha) |
KURIHARA Satoshi 電気通信大学, 大学院・情報システム学研究科, 教授 (30397658)
HIROTSU Toshio 法政大学, 情報科学部, 教授 (10378268)
FUKUDA Kensuke 国立情報学研究所, アーキテクチャ科学研究系, 准教授 (90435503)
|
|---|
| Project Period (FY) |
2011 – 2013
|
| Project Status |
Completed (Fiscal Year 2013)
|
| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2012: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2011: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
|
|---|
| Keywords | 社会規範 / 非均質エージェント / 分散処理 / 複雑ネットワーク / 強化学習 / マルチエージェントシステム / ノルム / 慣習 / 学習 / 安定性 / マルコフゲーム / 人工社会 / 大規模分散システム / 習慣 / 負荷分散 / 進化システム |
|---|
| Research Abstract |
We proposed the learning method in which agents produce norm in the society for effective conflict resolution and investigated the characteristics (convergence, stability, etc.) of the norm. For this purpose, we expressed conflict situations using a Markov game with a variety of payoff matrices that indicate agent's attitudes to situations and rewards as the result of behavior. We also represent the conflict situations that are never resolved unless one of agents gives up the best action (so this may result in the temporal penalty). Using our proposed method, we could find that (1) norms could emerge but its efficiency of resolution and stability is strongly affected by the payoff matrices in agents; (2) we often observed the phenomenon in which the established norms are broken by a few anomaly of agents that have strong attitude to conflicts; and finally (3) inconsistent norms often coexist in the agent network whose structure has the small-world property.
|
