Observational emergence of a fuzzy controller evolved by genetic algorithm

S. I. Lee, S. B. Cho

Research output: Contribution to conference › Paper › peer-review

6 Citations (Scopus)

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 in many fields such as behavior based robotics, artificial life, and complex systems without any on formal definition. In this paper, we develop a fuzzy logic controller for a simulated mobile robot with genetic algorithm and analyze behaviors of the controller from the perspective of the observational emergence. The analysis shows that the fuzzy logic controller has acquired emergent behaviors through the interactions of the underlying fuzzy rules.

Original languageEnglish
Pages1047-1054
Number of pages8
Publication statusPublished - 2001
EventCongress on Evolutionary Computation 2001 - Seoul, Korea, Republic of
Duration: 2001 May 27 → 2001 May 30

Other

OtherCongress on Evolutionary Computation 2001
CountryKorea, Republic of
CitySeoul
Period01/5/27 → 01/5/30

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)

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