Dynamic behavior arbitration of autonomous mobile robots using immune networks

Akio Ishiguro, Toshiyuki Kondo, Yuji Watanabe, Yoshiki Uchikawa

Research output: Contribution to conferencePaperpeer-review

24 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages722-727
Number of pages6
Publication statusPublished - 1995 Dec 1
Externally publishedYes
EventProceedings of the 1995 IEEE International Conference on Evolutionary Computation. Part 1 (of 2) - Perth, Aust
Duration: 1995 Nov 291995 Dec 1

Other

OtherProceedings of the 1995 IEEE International Conference on Evolutionary Computation. Part 1 (of 2)
CityPerth, Aust
Period95/11/2995/12/1

ASJC Scopus subject areas

  • Engineering(all)

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