論文

査読有り
2014年5月

Emergent Runaway into an Avoidance Area in a Swarm of Soldier Crabs

PLOS ONE
  • Hisashi Murakami
  • ,
  • Takenori Tomaru
  • ,
  • Yuta Nishiyama
  • ,
  • Toru Moriyama
  • ,
  • Takayuki Niizato
  • ,
  • Yukio-Pegio Gunji

9
5
開始ページ
e97870
終了ページ
-
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1371/journal.pone.0097870
出版者・発行元
PUBLIC LIBRARY SCIENCE

Emergent behavior that arises from a mass effect is one of the most striking aspects of collective animal groups. Investigating such behavior would be important in order to understand how individuals interact with their neighbors. Although there are many experiments that have used collective animals to investigate social learning or conflict between individuals and society such as that between a fish and a school, reports on mass effects are rare. In this study, we show that a swarm of soldier crabs could spontaneously enter a water pool, which are usually avoided, by forming densely populated part of a swarm at the edge of the water pool. Moreover, we show that the observed behavior can be explained by the model of collective behavior based on inherent noise that is individuals' different velocities in a directed group. Our results suggest that inherent noise, which is widely seen in collective animals, can contribute to formation and/or maintenance of a swarm and that the dense swarm can enter the pool by means of enhanced inherent noise.

リンク情報
DOI
https://doi.org/10.1371/journal.pone.0097870
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/24839970
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000340948600084&DestApp=WOS_CPL
URL
http://www.scopus.com/inward/record.url?eid=2-s2.0-84901325210&partnerID=MN8TOARS 本文へのリンクあり
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84901325210&origin=inward
ID情報
  • DOI : 10.1371/journal.pone.0097870
  • ISSN : 1932-6203
  • eISSN : 1932-6203
  • ORCIDのPut Code : 137737145
  • PubMed ID : 24839970
  • SCOPUS ID : 84901325210
  • Web of Science ID : WOS:000340948600084

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