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Sepideh Bazazi, Jérôme Buhl, Joseph Hale, Michael Anstey, G. Sword, S. Simpson, I. Couzin (2008)
Collective Motion and Cannibalism in Locust Migratory BandsCurrent Biology, 18
P. Clark, F. Evans (1954)
Distance to Nearest Neighbor as a Measure of Spatial Relationships in PopulationsEcology, 35
(1996)
On flocking by the fusion of sonar and active infrared sensors
A. Simons (2004)
Many wrongs: the advantage of group navigation.Trends in ecology & evolution, 19 9
V Gazi, KM Passino (2003)
Stability analysis of swarmsIEEE Transactions on Automatic Control, 48
Fatih Gökçe, E. Sahin (2009)
To flock or not to flock: the pros and cons of flocking in long-range "migration" of mobile robot swarms
P. Szabó, Máté Nagy, T. Vicsek (2008)
Turning with the Others: Novel Transitions in an SPP Model with Coupling of Accelerations2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems
U. Lopez, J. Gautrais, I. Couzin, G. Theraulaz (2012)
From behavioural analyses to models of collective motion in fish schoolsInterface Focus, 2
V. Gazi, K. Passino (2005)
Stability of a one-dimensional discrete-time asynchronous swarmIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 35
I. Giardina (2008)
Collective behavior in animal groups: Theoretical models and empirical studiesHFSP Journal, 2
M. Matarić (1993)
Designing emergent behaviors: from local interactions to collective intelligence
Benjamin Fine, Dylan Shell (2012)
Examining the Information Requirements for Flocking Motion
T. Niizato, Y. Gunji (2011)
Metric-topological interaction model of collective behaviorEcological Modelling, 222
Edward Codling, J. Pitchford, S. Simpson (2007)
Group navigation and the "many-wrongs principle" in models of animal movement.Ecology, 88 7
S. Hauert, S. Leven, M. Varga, Fabio Ruini, A. Cangelosi, J. Zufferey, D. Floreano (2011)
Reynolds flocking in reality with fixed-wing robots: Communication range vs. maximum turning rate2011 IEEE/RSJ International Conference on Intelligent Robots and Systems
F. Ginelli, H. Chaté (2010)
Relevance of metric-free interactions in flocking phenomena.Physical review letters, 105 16
A. Wood, G. Ackland (2007)
Evolving the selfish herd: emergence of distinct aggregating strategies in an individual-based modelProceedings of the Royal Society B: Biological Sciences, 274
P. Babak, K. Magnússon, S. Sigurdsson (2004)
Dynamics of group formation in collective motion of organisms.Mathematical medicine and biology : a journal of the IMA, 21 4
B. Partridge (1982)
The structure and function of fish schools.Scientific American, 246 6
Ichiro, Aoki (2007)
Internal Dynamics of Fish Schools in Relation to Inter-fish Distance*1
(2010)
Self-organized aerial displays of thousands of starlings: A model
A. Cavagna, I. Giardina, F. Ginelli (2012)
Boundary information inflow enhances correlation in flocking.Physical review letters, 110 16
R. Olfati-Saber (2006)
Flocking for multi-agent dynamic systems: algorithms and theoryIEEE Transactions on Automatic Control, 51
H. Levine, W. Rappel, I. Cohen (2000)
Self-organization in systems of self-propelled particles.Physical review. E, Statistical, nonlinear, and soft matter physics, 63 1 Pt 2
W. Hamilton (1971)
Geometry for the selfish herd.Journal of theoretical biology, 31 2
Marcelo Camperi, A. Cavagna, I. Giardina, G. Parisi, Edmondo Silvestri (2012)
Spatially balanced topological interaction grants optimal cohesion in flocking modelsInterface Focus, 2
Ian Vine (1971)
Risk of visual detection and pursuitby a predator and the selective advantage of flocking behaviour.Journal of theoretical biology, 30 2
J. Toner, Y. Tu (1998)
Flocks, herds, and schools: A quantitative theory of flockingPhysical Review E, 58
A. Jadbabaie, Jie Lin, A. Morse (2002)
Coordination of groups of mobile autonomous agents using nearest neighbor rulesProceedings of the 41st IEEE Conference on Decision and Control, 2002., 3
H. Tanner, A. Jadbabaie, George Pappas (2003)
Stable flocking of mobile agents part I: dynamic topology42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2
S. Rands, R. Pettifor, J. Rowcliffe, G. Cowlishaw (2011)
Modelling Natural Action Selection: State-dependent foraging rules for social animals in selfish herds
H. Tanner, A. Jadbabaie, George Pappas (2003)
Stable flocking of mobile agents, part I: fixed topology42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2
Ryan Lukeman, Yue-Xian Li, L. Edelstein-Keshet (2010)
Inferring individual rules from collective behaviorProceedings of the National Academy of Sciences, 107
L. Conradt, Jens Krause, Iain Couzin, T. Roper (2009)
“Leading According to Need” in Self‐Organizing GroupsThe American Naturalist, 173
Andaç Samiloglu, V. Gazi, A. Koku (2006)
Effects of Asynchronism and Neighborhood Size on Clustering in Self-propelled Particle Systems
J. Parrish (1989)
Re-examining the selfish herd: are central fish safer?Animal Behaviour, 38
R. Hutto (1988)
Foraging Behavior Patterns Suggest a Possible Cost Associated with Participation in Mixed-Species Bird FlocksOikos, 51
R. James, P. Bennett, Jens Krause (2004)
Geometry for mutualistic and selfish herds: the limited domain of danger.Journal of theoretical biology, 228 1
G. Ip, C. Chiu, C. Wan (2006)
Birds of a feather and birds flocking together: physical versus behavioral cues may lead to trait- versus goal-based group perception.Journal of personality and social psychology, 90 3
L. Edelstein-Keshet
Mathematical models of swarming and social aggregation
P. Szabó, Máté Nagy, T. Vicsek (2009)
Transitions in a self-propelled-particles model with coupling of accelerations.Physical review. E, Statistical, nonlinear, and soft matter physics, 79 2 Pt 1
D. Helbing, L. Buzna, Anders Johansson, T. Werner (2005)
Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design SolutionsTransp. Sci., 39
Benjamin Fine, Dylan Shell (2011)
Flocking: Don't need no stinkin' robot recognition2011 IEEE/RSJ International Conference on Intelligent Robots and Systems
(1996)
C++ boids
T. Vicsek, A. Czirók, E. Ben-Jacob, I. Cohen, Ofer Sochet (1995)
Novel type of phase transition in a system of self-driven particles.Physical review letters, 75 6
N. Bhooshan (2001)
The Simulation of the Movement of Fish Schools
S. Gueron, S. Levin, D. Rubenstein (1996)
The Dynamics of Herds: From Individuals to AggregationsJournal of Theoretical Biology, 182
J. Smith, A. Martin (2009)
Comparison of Hard-Core and Soft-Core Potentials for Modelling Flocking in Free SpacearXiv: Other Condensed Matter
J. Parrish, L. Edelstein-Keshet (1999)
Complexity, pattern, and evolutionary trade-offs in animal aggregation.Science, 284 5411
T. Miki, Tetsuya Nakamura (2006)
An Effective Simple Shepherding Algorithm Suitable for Implementation to a Multi-Mmobile Robot SystemFirst International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06), 3
K. Warburton, J. Lazarus (1991)
Tendency-distance models of social cohesion in animal groups.Journal of theoretical biology, 150 4
Steven Viscido, Matthew Miller, D. Wethey (2002)
The dilemma of the selfish herd: the search for a realistic movement rule.Journal of theoretical biology, 217 2
Craig Reynolds (1987)
Flocks, herds, and schools: a distributed behavioral modelSeminal graphics: pioneering efforts that shaped the field
V. Gazi, K. Passino (2002)
Stability analysis of swarmsProceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301), 3
(2004)
Opensteer: Steering behaviors for autonomous characters
Jiu‐Gang Dong (2012)
Flocking under hierarchical leadership with a free‐will leaderInternational Journal of Robust and Nonlinear Control, 23
A. Cavagna, A. Cimarelli, I. Giardina, G. Parisi, Raffaele Santagati, F. Stefanini, Raffaele Tavarone (2010)
FROM EMPIRICAL DATA TO INTER-INDIVIDUAL INTERACTIONS: UNVEILING THE RULES OF COLLECTIVE ANIMAL BEHAVIORMathematical Models and Methods in Applied Sciences, 20
E. Ferrante, A. Turgut, C. Huepe, A. Stranieri, Carlo Pinciroli, Marco Dorigo (2012)
Self-organized flocking with a mobile robot swarm: a novel motion control methodAdaptive Behavior, 20
A. Barbosa (1995)
Foraging strategies and their influence on scanning and flocking behaviour of wadersJournal of Avian Biology, 26
I. Couzin, J. Krause, N. Franks, S. Levin (2005)
Effective leadership and decision-making in animal groups on the moveNature, 433
Nikolai Bode, Daniel Franks, A. Wood (2011)
Limited interactions in flocks: relating model simulations to empirical dataJournal of The Royal Society Interface, 8
D. Whitfield (2003)
Redshank Tringa totanus flocking behaviour, distance from cover and vulnerability to sparrowhawk Accipiter nisus predationJournal of Avian Biology, 34
R. Vaughan, N. Sumpter, J. Henderson, A. Frost, S. Cameron (2000)
Experiments in automatic flock controlRobotics Auton. Syst., 31
M. Lindhé, Petter Ögren, K. Johansson (2005)
Flocking with Obstacle Avoidance: A New Distributed Coordination Algorithm Based on Voronoi PartitionsProceedings of the 2005 IEEE International Conference on Robotics and Automation
John Crossingham (2001)
What Is Migration
D. Helbing, P. Molnár (1995)
Social force model for pedestrian dynamics.Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 51 5
A. Turgut, H. Çelikkanat, Fatih Gökçe, E. Sahin (2008)
Self-organized flocking in mobile robot swarmsSwarm Intelligence, 2
G. Grégoire, H. Chaté, Y. Tu (2003)
Moving and staying together without a leaderPhysica D: Nonlinear Phenomena, 181
A. Mogilner, L. Edelstein-Keshet (1999)
A non-local model for a swarmJournal of Mathematical Biology, 38
G. Albi, L. Pareschi (2012)
Modeling of self-organized systems interacting with a few individuals: From microscopic to macroscopic dynamicsArXiv, abs/1210.1172
Shimoyama, Sugawara, Mizuguchi, Hayakawa, Sano (1996)
Collective motion in a system of motile elements.Physical review letters, 76 20
E. Rauch, M. Millonas, D. Chialvo (1995)
Pattern Formation and Functionality in Swarm ModelsPhysics Letters A, 207
A. Mikhailov, D. Zanette (1999)
Noise-induced breakdown of coherent collective motion in swarms.Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 60 4 Pt B
A Jadbabaie, J Lin, AS Morse (2002)
Coordination of groups of mobile autonomous agents using nearest neighbor rulesIEEE Transactions on Automatic Control, 48
Steven Viscido, D. Wethey (2002)
Quantitative analysis of fiddler crab flock movement: evidence for ‘selfish herd’ behaviourAnimal Behaviour, 63
CW Reynolds (1987)
Flocks, herds and schools: A distributed behavioral modelComputer Graphics, 21
T. Balch, R. Arkin (1998)
Behavior-based formation control for multirobot teamsIEEE Trans. Robotics Autom., 14
J. Bender, R. Fenton (1970)
On the Flow Capacity of Automated HighwaysTransportation Science, 4
J. Emlen (1952)
Flocking Behavior in BirdsThe Auk, 69
J. Parrish, Steven Viscido, D. Grünbaum (2002)
Self-Organized Fish Schools: An Examination of Emergent PropertiesThe Biological Bulletin, 202
T. Vicsek, Anna Zafeiris (1999)
Collective Motion
Robert Goldstone, M. Janssen (2005)
Computational models of collective behaviorTrends in Cognitive Sciences, 9
M. Ballerini, N. Cabibbo, R. Candelier, A. Cavagna, E. Cisbani, I. Giardina, V. Lecomte, A. Orlandi, Giorgio Parisi, Andrea Procaccini, M. Viale, V. Zdravkovic (2007)
Interaction ruling animal collective behavior depends on topological rather than metric distance: Evidence from a field studyProceedings of the National Academy of Sciences, 105
D. Helbing, I. Farkas, T. Vicsek (2000)
Simulating dynamical features of escape panicNature, 407
A. Ōkubo, A. Ōkubo (1986)
Dynamical aspects of animal grouping: swarms, schools, flocks, and herds.Advances in biophysics, 22
T. Pitcher, B. Partridge, C. Wardle (1976)
A blind fish can school.Science, 194 4268
SA Rands, RA Pettifor, JM Rowcliffe, G Cowlishaw (2004)
State-dependent foraging rules for social animals in selfish herdsProceedings of the Royal Society of London Series B: Biological Sciences, 271
M. Moussaïd, D. Helbing, S. Garnier, Anders Johansson, M. Combe, G. Theraulaz (2009)
Experimental study of the behavioural mechanisms underlying self-organization in human crowdsProceedings of the Royal Society B: Biological Sciences, 276
A. Czirók, A. Czirók, H. Stanley, T. Vicsek (1997)
Spontaneously ordered motion of self-propelled particlesJournal of Physics A, 30
Flocking motions have been the subject of hundreds of studies over the past six decades. The vast majority of models have nearly identical aims: bottom-up demonstration of basic emergent flocking motions. Despite a significant fraction of the literature providing algorithmic descriptions of models, incompleteness and imprecision are also readily identifiable in flocking algorithms, algorithmic input, and validation of the models. To address this issue, this meta-study introduces a data-flow template, which unifies many of the existing approaches. Additionally, there are small differences and ambiguities in the flocking scenarios being studied by different researchers; unfortunately, these differences are of considerable significance. For example, much subtlety is needed to specify sensory requirements exactly and minor modifications may critically alter a flock’s exhibited motions. We introduce two taxonomies that minimize both incompleteness and imprecision, and enable us to highlight those publications that study flocking motions under comparable assumptions. Furthermore, we aggregate and translate the publications into a consolidated notation. The common notation along with the data-flow template and the two taxonomies constitute a collection of tools, that together, facilitates complete and precise flocking motion models, and enables much of the work to be unified. To conclude, we make recommendations for more diverse research directions and propose criteria for rigorous problem definitions and descriptions of future flocking motion models.
Autonomous Robots – Springer Journals
Published: Jun 22, 2013
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