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 Jan 1 |
| 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 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Engineering(all)
Cite this
}
Observational emergence of a fuzzy controller evolved by genetic algorithm. / Lee, S. I.; Cho, S. B.
2001. 1047-1054 Paper presented at Congress on Evolutionary Computation 2001, Seoul, Korea, Republic of.Research output: Contribution to conference › Paper
TY - CONF
T1 - Observational emergence of a fuzzy controller evolved by genetic algorithm
AU - Lee, S. I.
AU - Cho, S. B.
PY - 2001/1/1
Y1 - 2001/1/1
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
ER -