DocumentCode :
252181
Title :
Swarm behavior of simulated flapping birds using Kuramoto model
Author :
Kato, R. ; Iizuka, H. ; Yamamoto, M.
Author_Institution :
Dept. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan
fYear :
2014
fDate :
13-15 Dec. 2014
Firstpage :
112
Lastpage :
117
Abstract :
This paper shows the different types of swarm behaviors of simulated flapping birds obtained in our simulation. The individual birds are modeled in the physical virtual environment and flying by flapping. The evolutionary method is applied to obtain how to fly as an individual. After the evolution, the multiple birds interact with each other with Kuramoto model while flying at the same time. Our result shows the top-down regulation from the shape of formations to the individual behaviors. The regulation changes individual objectives to the globally determined objectives due to the entrainment caused by Kuramoto model.
Keywords :
genetic algorithms; mobile robots; multi-robot systems; neurocontrollers; Kuramoto model; evolutionary method; simulated flapping; swarm behavior; virtual environment; Artificial neural networks; Birds; Computational modeling; Couplings; Oscillators; Synchronization; Time-frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Integration (SII), 2014 IEEE/SICE International Symposium on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4799-6942-5
Type :
conf
DOI :
10.1109/SII.2014.7028021
Filename :
7028021
Link To Document :
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