Literature DB >> 14556686

Artificial fish schools: collective effects of school size, body size, and body form.

Hanspeter Kunz1, Charlotte K Hemelrijk.   

Abstract

Individual-based models of schooling in fish have demonstrated that, via processes of self-organization, artificial fish may school in the absence of a leader or external stimuli, using local information only. We study for the first time how body size and body form of artificial fish affect school formation in such a model. For a variety of group sizes we describe how school characteristics (i.e., group form, spread, density, polarization, turning rate, and speed) depend on body characteristics. Furthermore, we demonstrate that the nearest neighbor distance and turning rate of individuals are different for different regions in the group, although the agents are completely identical. Our approach shows the significance of both self-organization and embodiment in modeling of schools of artificial fish and, probably, in structuring schools of real fish.

Mesh:

Year:  2003        PMID: 14556686     DOI: 10.1162/106454603322392451

Source DB:  PubMed          Journal:  Artif Life        ISSN: 1064-5462            Impact factor:   0.667


  21 in total

1.  Effects of anisotropic interactions on the structure of animal groups.

Authors:  Emiliano Cristiani; Paolo Frasca; Benedetto Piccoli
Journal:  J Math Biol       Date:  2010-05-19       Impact factor: 2.259

2.  Inferring individual rules from collective behavior.

Authors:  Ryan Lukeman; Yue-Xian Li; Leah Edelstein-Keshet
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-28       Impact factor: 11.205

3.  Interaction ruling animal collective behavior depends on topological rather than metric distance: evidence from a field study.

Authors:  M Ballerini; N Cabibbo; R Candelier; A Cavagna; E Cisbani; I Giardina; V Lecomte; A Orlandi; G Parisi; A Procaccini; M Viale; V Zdravkovic
Journal:  Proc Natl Acad Sci U S A       Date:  2008-01-28       Impact factor: 11.205

Review 4.  From behavioural analyses to models of collective motion in fish schools.

Authors:  Ugo Lopez; Jacques Gautrais; Iain D Couzin; Guy Theraulaz
Journal:  Interface Focus       Date:  2012-10-03       Impact factor: 3.906

5.  Schools of fish and flocks of birds: their shape and internal structure by self-organization.

Authors:  Charlotte K Hemelrijk; Hanno Hildenbrandt
Journal:  Interface Focus       Date:  2012-08-22       Impact factor: 3.906

6.  An agent-based approach for modelling collective dynamics in animal groups distinguishing individual speed and orientation.

Authors:  Sara Bernardi; Marco Scianna
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-07-27       Impact factor: 6.237

7.  Social conformity and propagation of information in collective U-turns of fish schools.

Authors:  Valentin Lecheval; Li Jiang; Pierre Tichit; Clément Sire; Charlotte K Hemelrijk; Guy Theraulaz
Journal:  Proc Biol Sci       Date:  2018-04-25       Impact factor: 5.349

Review 8.  The importance of individual variation in the dynamics of animal collective movements.

Authors:  Maria Del Mar Delgado; Maria Miranda; Silvia J Alvarez; Eliezer Gurarie; William F Fagan; Vincenzo Penteriani; Agustina di Virgilio; Juan Manuel Morales
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-05-19       Impact factor: 6.237

9.  Nondestructive intervention to multi-agent systems through an intelligent agent.

Authors:  Jing Han; Lin Wang
Journal:  PLoS One       Date:  2013-05-02       Impact factor: 3.240

10.  Approximating optimal behavioural strategies down to rules-of-thumb: energy reserve changes in pairs of social foragers.

Authors:  Sean A Rands
Journal:  PLoS One       Date:  2011-07-12       Impact factor: 3.240

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