Observational emergence of a fuzzy controller evolved by genetic algorithm

S. I. Lee; S. B. Cho

Observational emergence of a fuzzy controller evolved by genetic algorithm

S. I. Lee, S. B. Cho

Department of Computer Science

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 language	English
Pages	1047-1054
Number of pages	8
Publication status	Published - 2001
Event	Congress on Evolutionary Computation 2001 - Seoul, Korea, Republic of Duration: 2001 May 27 → 2001 May 30

Other

Other	Congress on Evolutionary Computation 2001
Country	Korea, Republic of
City	Seoul
Period	01/5/27 → 01/5/30

All Science Journal Classification (ASJC) codes

Computer Science(all)
Engineering(all)

Fingerprint Dive into the research topics of 'Observational emergence of a fuzzy controller evolved by genetic algorithm'. Together they form a unique fingerprint.

Cite this

@conference{0ddb2b0fbfb44dce9080da6bc7c3ec65,

title = "Observational emergence of a fuzzy controller evolved by genetic algorithm",

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.",

author = "Lee, {S. I.} and Cho, {S. B.}",

year = "2001",

language = "English",

pages = "1047--1054",

note = "Congress on Evolutionary Computation 2001 ; Conference date: 27-05-2001 Through 30-05-2001",

}

TY - CONF

T1 - Observational emergence of a fuzzy controller evolved by genetic algorithm

AU - Lee, S. I.

AU - Cho, S. B.

PY - 2001

Y1 - 2001

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0034870905&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034870905&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0034870905

SP - 1047

EP - 1054

T2 - Congress on Evolutionary Computation 2001

Y2 - 27 May 2001 through 30 May 2001

ER -

Observational emergence of a fuzzy controller evolved by genetic algorithm

Abstract

Other

All Science Journal Classification (ASJC) codes

Other files and links

Cite this