Observational emergence of a fuzzy controller evolved by genetic algorithm

Author

Lee, Seung-Ik ; Cho, Sung-Bae

Author_Institution

Dept. of Comput. Sci., Yonsei Univ., Seoul, South Korea

Volume

2

fYear

2001

fDate

2001

Firstpage

1047

Abstract

Explaining emergence is a difficult work, such that there are many arguments on what it is or how it can be explained. Nonetheless, it is frequently referred to in many fields, such as behavior-based robotics, artificial life and complex systems, without any formal definition. In this paper, we develop a fuzzy logic controller for a simulated mobile robot with a genetic algorithm and analyze the behavior of the controller from the perspective of observational emergence. The analysis shows that the fuzzy logic controller has acquired emergent behavior through the interactions of the underlying fuzzy rules

Keywords

control system analysis; control system synthesis; fuzzy control; genetic algorithms; mobile robots; optimal control; artificial life; behavior-based robotics; complex systems; emergent behavior; fuzzy controller evolution; fuzzy rule interactions; genetic algorithm; observational emergence; simulated mobile robot; Algorithm design and analysis; Computer science; Connectors; Fuzzy control; Fuzzy logic; Genetic algorithms; Infrared sensors; Mobile robots; Robot sensing systems; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2001. Proceedings of the 2001 Congress on

Conference_Location

Seoul

Print_ISBN

0-7803-6657-3

Type

conf

DOI

10.1109/CEC.2001.934307

Filename

934307