Name
Title | ||
|---|---|---|
A Decision Making System Of Robots Introducing A Re-Construction Of Emotions Based On Their Own Experiences |
Abstract | ||
|---|---|---|
We already proposed a decision making system for autonomous robots, which is based on a Markovian emotional model proposed by Banik. In our proposed system, decision making of the robot is designed automatically by two processes that are the construction of emotions and optimization of behavior selection policy for emotions. In this study, we introduce an experiences-based reconstruction of emotions to our decision making system as an approach to an automatic construction of decision making online learning. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.2991/jrnal.2014.1.1.6 | JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE |
Keywords | Field | DocType |
Emotion model, Decision-making, Optimization problem | Online learning,Markov process,Computer science,Business decision mapping,Artificial intelligence,R-CAST,Robot,Optimization problem,Decision engineering | Journal |
Volume | Issue | ISSN |
1 | 1 | 2352-6386 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shogo Watada | 1 | 0 | 0.68 |
| Masanao Obayashi | 2 | 198 | 26.10 |
| Takashi Kuremoto | 3 | 196 | 27.73 |
| Shingo Mabu | 4 | 493 | 77.00 |
| Kunikazu Kobayashi | 5 | 6 | 0.98 |