Emergence of Anisotropy in Flock Simulations and Its Computational Analysis

• MAKIGUCHI Motohiro

  Graduate School of Information Science and Technology, Hokkaido University

• INOUE Jun-ichi

  Graduate School of Information Science and Technology, Hokkaido University

Bibliographic Information

Other Title

• 群知能シミュレーションにおける異方性の創発とその解析評価
• グン チノウ シミュレーション ニ オケル イホウセイ ノ ソウハツ ト ソノ カイセキ ヒョウカ

Abstract

In real flocks, it was revealed that the angular density of nearest neighbors shows a strong anisotropic structure of individuals by very recent extensive field studies [Ballerini et al, Proceedings of the National Academy of Sciences USA, 105, pp. 1232-1237 (2008)]. In this paper, we show this structure of anisotropy also emerges in an artificial flock simulation, namely, Boid simulation. To quantify the anisotropy, we evaluate a useful statistics, that is to say, the so-called γ-value which is defined as an inner product between the vector in the direction of the lowest angular density of flocks and the vector in the direction of moving of the flock. Our results concerning the emergence of the anisotropy through the γ-value might enable us to judge whether an optimal flock simulation seems to be realistic or not.

Journal

• Transactions of the Society of Instrument and Control Engineers

  Transactions of the Society of Instrument and Control Engineers 46 (11), 666-675, 2010

  The Society of Instrument and Control Engineers

Keywords

• self-organization
• anisotropy
• Boids
• swarm intelligence simulation
• collective behaviour

Details

• CRID: 1390282679481175040
• NII Article ID: 10027445695
• NII Book ID: AN00072392
• DOI: 10.9746/sicetr.46.666
• ISSN: 18838189
• ISSN: 04534654
• NDL BIB ID: 10912194
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I10912194
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed