Abstract
Animals in a group have been considered to have a field or zone to avoid a collision among individuals. The repulsive zone was formalized as a symmetry zone, i.e., a circle in the theories of collective behavior. The present study challenged the theories, since animals would avoid the collision in anticipation that cannot be derived from the symmetry interaction. This study investigated a discrete model consisting of velocity-based “oval” repulsive and long-range attractive zones. This model exhibited highly coherent behavior without explicit alignment force due to asymmetric interaction upon the oval potential. The results would be contributed to future researches in collective behavior and robotics.
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Reynolds CW (1987) Flock, Herds, and Schools: a distributed behavioral model. Comp Graph (ACM) 21(4):25–34
Vicsek T, Czirok A, Ben-Jacob E, Shochet O (1995) Novel type of phase transition in a system of self-driven particles. Phys Rev Lett 75:1226–1229
Couzin ID, Krause J, James R, Ruxtion GD, Franks NR (2002) Collective memory and spatial sorting in animal groups. J Theor Biol 218:1–11
Niizato T, Gunji Y-P (2011) Metric-topological interaction model of collective behavior. Ecol Modell 222(17):3041–3049
Murakami H, Niizato T, Gunji Y-P (2012) A model of scale-free proportion based on mutual anticipation. Int J Art Life Res 3(1):34–44
Lee SH, Pak HK, Chon TS (2006) Dynamics of prey–flock escaping behavior in response to predator’s attack. J Theor Biol 240:250–259
Lemasson BH, Anderson JJ, Goodwin RA (2009) Collective motion in animal groups from a neurobiological perspective: the adaptive benefits of dynamic sensory loads and selective attention. J Theor Biol 261:501–510
Gibson JJ, Crooks L (1982) A theoretical field-analysis of automobile-driving. In: E. Reed, R. Jones (eds.) Reasons for realism. Lawrence Erlbaum Associates, Inc., pp. 120–136 (Original work published 1938)
Okutomi M, Mori M (1983) Decision of Robot’s movement by means of potential field. J Robotics Soc Japan 1(3):66–72
Karamouzas I, Skinner B, Guy SJ (2014) Universal power law govering pedestrian interactions. Phys Rev Lett 113:238701
Couzin I (2009) Collective cognition in animal groups. Trends in Cog Sci 13(1):36–43
Katz Y, Tunstrøm K, Ioannou CC, Huepe C, Couzin ID (2011) Inferring the structure and dynamics of interactions in schooling fish. Proc Natl Acad Sci USA 108(46):18720–18725
Strombom D (2011) Collective motion from local attraction. J Theor Biol. doi:10.1016/j.jtbi.2011.05.019
Acknowledgments
This work was partially supported by JSPS KAKENHI Grant Number JP15K12054. The part of this work was carried out under the Cooperative Research Project Program of the Research Institute of Electrical Communication, Tohoku University.
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Sonoda, K., Murakami, H., Niizato, T. et al. Field of safe travel in swarm. Artif Life Robotics 21, 379–383 (2016). https://doi.org/10.1007/s10015-016-0314-5
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DOI: https://doi.org/10.1007/s10015-016-0314-5