NDLI: Fractal evaluations of fish school movements in simulations and real observations

Content Provider	Springer Nature Link
Author	Shinchi, Tatsuro Kitazoe, Tetsuro Nishimura, Haruhiko Tabuse, Masayoshi Azuma, buyuki Aoki, Ichiro
Copyright Year	2002
Abstract	Fish schools behave like a single organism, and this offers considerable survival advantages. In our simulations, a fish school is well organized, without a leader, and behaves like a single creature depending solely on the interactions among individuals. This kind of system can be said to be typical of “complex systems.” In this article, it is shown that fractal evaluation is useful to understand the features of fish school movements. We make clear the validity of fractal analyses to quantify fish school movements through evaluations of simulated fish school movements andsardine movements. These fractal analyses show that we need two different fractal dimensions (D 1,D 2) to understand the features of fish school movements:D 1 corresponds to thesmaller coarsening levels, andD 2 corresponds to thelarge coarsening levels. The linear analyses in log-log space give an excellent fit with both the simulated movements and the sardine school movements. In approaching complex systems or complex behaviors, fractal analyses have attracted wide attention in mathematics, physical sciences, and information science. The fractal evaluations here convince us that we are coming close to understanding the structure of complex movements of animals.
Starting Page	36
Ending Page	43
Page Count	8
File Format	PDF
ISSN	14335298
Journal	Artificial Life and Robotics
Volume Number	6
Issue Number	1-2
e-ISSN	16147456
Language	English
Publisher	Springer-Verlag
Publisher Date	2002-01-01
Publisher Place	Tokyo
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Fractal Fractal dimension Fish school simulation Sardine school Computation by Abstract Devices Artificial Intelligence (incl. Robotics) Automation and Robotics
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Biochemistry, Genetics and Molecular Biology

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