Research about a conceptual space segmenting agent for emotional communications
Project/Area Number |
21700242
|
Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Single-year Grants |
Research Field |
Sensitivity informatics/Soft computing
|
Research Institution | Osaka Prefecture University |
Principal Investigator |
NOTSU Akira 大阪府立大学, 大学院・工学研究科, 助教 (40405345)
|
Project Period (FY) |
2009 – 2011
|
Project Status |
Completed (Fiscal Year 2011)
|
Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2011: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2010: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2009: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
|
Keywords | 感性情報処理 / 強化学習 / 概念空間 / コミュニケーション / エージェント / 社会シミュレータ |
Research Abstract |
In this research, learning agents segment its learning space gradually during their trial-and-error processes. We proposed, experienced and discuss several methods about its automation. Additionally, we proposed chain form reinforcement learning for small memory agent. PSO for learning, improvement of complex reinforcement learning, effect of PCA for learning, and multi-agent simulator for CO2 emission are done.
|
Report
(4 results)
Research Products
(34 results)