2010 Fiscal Year Final Research Report
A challenge towards how far the emergence of higher functions can be explained by reinforcement learning using a neural network
| Project/Area Number |
19300070
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Perception information processing/Intelligent robotics
|
|---|
| Research Institution | Oita University |
|---|
Principal Investigator |
SHIBATA Katsunari Oita University, 工学部, 准教授 (10260522)
|
|---|
| Project Period (FY) |
2007 – 2010
|
| Keywords | 知能ロボット / 強化学習 / ニューラルネット / 高次機能 |
|---|
| Research Abstract |
Emergence of higher functions has been aimed based on autonomous learning by reinforcement learning using a neural network that connects from sensors to motors. Although no significant fruits could be shown as for the emergence of symbol processing, but the emergence of "abstraction", "memory", "prediction", or "exploration" through the learning from only rewards and punishments has been shown. For example, in the learning of a task using a movable camera in which the identification and memorization of arrow direction are necessary to get a reward, extraction of arrow direction from images and memorization of it were realized.
|
