Name
Title | ||
|---|---|---|
Immunoid: An Immunological Approach to Decentralized Behavoir Arbitration of Autonomous Mobile Robots |
Abstract | ||
|---|---|---|
Conventional artificial intelligent (AI) system have been criticized for its brittleness under hostile/dynamic changing environments. Therefore, recently much attention has been focused on the reactive planning systems such as behavior-based AI. However, in the behavior-based AI approaches, how to construct a mechanism that realizes adequate arbitration among competence modules is still an open question. In this paper, we propose a new decentralized consensus-making system inspired from the biological immune system. And we apply our proposed method to behavior arbitration of an autonomous mobile robot as a practical example. To verify the feasibility of our method, we carry out some experiments. In addition, we propose an adaptation mechanism, and try to construct a suitable immune network for adequate action selection. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1007/3-540-61723-X_1030 | PPSN |
Keywords | Field | DocType |
autonomous mobile robots,decentralized behavoir arbitration,immunological approach | Immune network,Simulation,Computer science,Biological immune system,Reactive planning,Artificial intelligence,Arbitration,Action selection,Mobile robot,Machine learning | Conference |
ISBN | Citations | PageRank |
3-540-61723-X | 8 | 1.33 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Akio Ishiguro | 1 | 321 | 60.94 |
| Toshiyuki Kondo | 2 | 131 | 28.57 |
| Yuji Watanabe | 3 | 8 | 1.33 |
| Yoshiki Uchikawa | 4 | 455 | 72.31 |