Conventional artificial intelligence systems have been criticized for their brittleness under dynamic changing environments. Therefore, in recent years much attention has been focused on reactive planning systems(e.g. behavior-based AI, emergent computation, and so on). In this paper, we propose a new inference/consensus-making system inspired from immune system in living organisms. And we apply our proposed method to behavior arbitration of an autonomous mobile robot as a practical example. We furthermore try to evolve affinities among antibodies using genetic operators. To confirm the validity of our method, we carry out some simulations.
|Number of pages||6|
|Publication status||Published - 1995|
|Event||Proceedings of the 1995 IEEE International Conference on Evolutionary Computation. Part 1 (of 2) - Perth, Aust|
Duration: 1995 Nov 29 → 1995 Dec 1
|Conference||Proceedings of the 1995 IEEE International Conference on Evolutionary Computation. Part 1 (of 2)|
|Period||95/11/29 → 95/12/1|