Observational emergence in evolutionary fuzzy robotics

Seung Ik Lee, Sung Bae Cho

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Emergence is a universal phenomenon that can be seen frequently in many fields such as evolutionary computation, artificial life and complex systems. However, many experimental results have argued that certain behaviours or properties are emergent without relying on formal definitions. In this paper, we analyse the effect of individual rules and that of interacted rules of a Fuzzy Logic Controller (FLC) evolved by a Genetic Algorithm (GA) from the perspective of observational emergence. The analysis shows that the FLC has acquired emergent behaviours through the interactions of the underlying fuzzy rules.

Original languageEnglish
Pages (from-to)88-96
Number of pages9
JournalInternational Journal of Modelling, Identification and Control
Volume3
Issue number1
DOIs
Publication statusPublished - 2008 May 1

Fingerprint

Fuzzy Logic Controller
Fuzzy logic
Robotics
Emergent Behavior
Artificial Life
Controllers
Fuzzy rules
Evolutionary Computation
Fuzzy Rules
Evolutionary algorithms
Large scale systems
Complex Systems
Genetic algorithms
Genetic Algorithm
Experimental Results
Interaction

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Computer Science Applications
  • Applied Mathematics

Cite this

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Observational emergence in evolutionary fuzzy robotics. / Lee, Seung Ik; Cho, Sung Bae.

In: International Journal of Modelling, Identification and Control, Vol. 3, No. 1, 01.05.2008, p. 88-96.

Research output: Contribution to journalArticle

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