Literature DB >> 19404431

Collective behavior in animal groups: theoretical models and empirical studies.

Irene Giardina1.   

Abstract

Collective phenomena in animal groups have attracted much attention in the last years, becoming one of the hottest topics in ethology. There are various reasons for this. On the one hand, animal grouping provides a paradigmatic example of self-organization, where collective behavior emerges in absence of centralized control. The mechanism of group formation, where local rules for the individuals lead to a coherent global state, is very general and transcends the detailed nature of its components. In this respect, collective animal behavior is a subject of great interdisciplinary interest. On the other hand, there are several important issues related to the biological function of grouping and its evolutionary success. Research in this field boasts a number of theoretical models, but much less empirical results to compare with. For this reason, even if the general mechanisms through which self-organization is achieved are qualitatively well understood, a quantitative test of the models assumptions is still lacking. New analysis on large groups, which require sophisticated technological procedures, can provide the necessary empirical data.

Year:  2008        PMID: 19404431      PMCID: PMC2639936          DOI: 10.2976/1.2961038

Source DB:  PubMed          Journal:  HFSP J        ISSN: 1955-205X


  31 in total

1.  Novel type of phase transition in a system of self-driven particles.

Authors: 
Journal:  Phys Rev Lett       Date:  1995-08-07       Impact factor: 9.161

2.  Simulating dynamical features of escape panic.

Authors:  D Helbing; I Farkas; T Vicsek
Journal:  Nature       Date:  2000-09-28       Impact factor: 49.962

3.  Spatial patterns in ant colonies.

Authors:  Guy Theraulaz; Eric Bonabeau; Stamatios C Nicolis; Ricard V Solé; Vincent Fourcassié; Stéphane Blanco; Richard Fournier; Jean-Louis Joly; Pau Fernández; Anne Grimal; Patrice Dalle; Jean-Louis Deneubourg
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-11       Impact factor: 11.205

4.  Onset of collective and cohesive motion.

Authors:  Guillaume Grégoire; Hugues Chaté
Journal:  Phys Rev Lett       Date:  2004-01-15       Impact factor: 9.161

5.  Optimal traffic organization in ants under crowded conditions.

Authors:  Audrey Dussutour; Vincent Fourcassié; Dirk Helbing; Jean-Louis Deneubourg
Journal:  Nature       Date:  2004-03-04       Impact factor: 49.962

6.  Effective leadership and decision-making in animal groups on the move.

Authors:  Iain D Couzin; Jens Krause; Nigel R Franks; Simon A Levin
Journal:  Nature       Date:  2005-02-03       Impact factor: 49.962

7.  Boltzmann and hydrodynamic description for self-propelled particles.

Authors:  Eric Bertin; Michel Droz; Guillaume Grégoire
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2006-08-02

8.  Collective memory and spatial sorting in animal groups.

Authors:  Iain D Couzin; Jens Krause; Richard James; Graeme D Ruxton; Nigel R Franks
Journal:  J Theor Biol       Date:  2002-09-07       Impact factor: 2.691

9.  From disorder to order in marching locusts.

Authors:  J Buhl; D J T Sumpter; I D Couzin; J J Hale; E Despland; E R Miller; S J Simpson
Journal:  Science       Date:  2006-06-02       Impact factor: 47.728

10.  The migration of the desert locust (Schistocerca gregaria Forsk.). I. The behaviour of swarms. II. A theory of long-range migrations.

Authors:  J S KENNEDY
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1951-05       Impact factor: 6.237

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  44 in total

1.  Inferring the rules of interaction of shoaling fish.

Authors:  James E Herbert-Read; Andrea Perna; Richard P Mann; Timothy M Schaerf; David J T Sumpter; Ashley J W Ward
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-07       Impact factor: 11.205

2.  Dynamics of bacterial swarming.

Authors:  Nicholas C Darnton; Linda Turner; Svetlana Rojevsky; Howard C Berg
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

3.  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

4.  Intermittent collective dynamics emerge from conflicting imperatives in sheep herds.

Authors:  Francesco Ginelli; Fernando Peruani; Marie-Helène Pillot; Hugues Chaté; Guy Theraulaz; Richard Bon
Journal:  Proc Natl Acad Sci U S A       Date:  2015-09-28       Impact factor: 11.205

5.  Spatially balanced topological interaction grants optimal cohesion in flocking models.

Authors:  Marcelo Camperi; Andrea Cavagna; Irene Giardina; Giorgio Parisi; Edmondo Silvestri
Journal:  Interface Focus       Date:  2012-08-08       Impact factor: 3.906

Review 6.  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

Review 7.  Locust Collective Motion and Its Modeling.

Authors:  Gil Ariel; Amir Ayali
Journal:  PLoS Comput Biol       Date:  2015-12-10       Impact factor: 4.475

8.  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

9.  Collective Motion in Human Crowds.

Authors:  William H Warren
Journal:  Curr Dir Psychol Sci       Date:  2018-07-11

10.  Role of projection in the control of bird flocks.

Authors:  Daniel J G Pearce; Adam M Miller; George Rowlands; Matthew S Turner
Journal:  Proc Natl Acad Sci U S A       Date:  2014-07-07       Impact factor: 11.205

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