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 a 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.
|Number of pages||6|
|Publication status||Published - 1996 Jan 1|
|Event||Proceedings of the 1996 IEEE International Conference on Evolutionary Computation, ICEC'96 - Nagoya, Jpn|
Duration: 1996 May 20 → 1996 May 22
|Other||Proceedings of the 1996 IEEE International Conference on Evolutionary Computation, ICEC'96|
|Period||96/5/20 → 96/5/22|
ASJC Scopus subject areas