Name
Abstract | ||
|---|---|---|
In recent years much attention has been focused on behavior-based artificial intelligence(AI), which has already demonstrated its robustness and flexibility against dynamically changing world. However, in this approach, the followings have not yet been resolved: how do we construct an appropriate arbitration mechanism, and how do we prepare appropriate competence modules. In this paper, to overcome these problems, we propose a new decentralized consensus-making system inspired by the biological immune system. And we apply our proposed method to behavior arbitration for an autonomous mobile robot, namely garbage collecting problem that takes into account of the concept of self-sufficiency. To verify the feasibility of our method, we carry out some simulations. In addition, we investigate two types of adaptation mechanisms, and try to evolve the proposed artificial immune network using reinforcement signals. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/ISADS.1997.590626 | ISADS |
Keywords | Field | DocType |
learning (artificial intelligence),mobile robots,simulation,adaptation mechanisms,arbitration mechanism,artificial immune network,autonomous mobile robot,behavior-based artificial intelligence,biological immune system,decentralized consensus-making mechanism,garbage collecting problem,immune system,reinforcement signals,robustness,simulations | Garbage,Immune network,Computer science,Biological immune system,Robustness (computer science),Artificial intelligence,Arbitration,Robot,Maintenance engineering,Mobile robot,Distributed computing | Conference |
ISBN | Citations | PageRank |
0-8186-7783-X | 12 | 1.38 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Akio Ishiguro | 1 | 321 | 60.94 |
| Yuji Watanabe | 2 | 12 | 1.38 |
| Toshiyuki Kondo | 3 | 131 | 28.57 |
| Yasuhiro Shirai | 4 | 39 | 3.38 |
| Yoshiki Uchikawa | 5 | 455 | 72.31 |