Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Understanding intelligence
Self-Organization in Biological Systems
Self-Organization in Biological Systems
A BEHAVIORAL AGENT MODEL FOR SYNTHESIZING VEGETATION DISTRIBUTION PATTERNS ON 3D TERRAINS
Applied Artificial Intelligence
Discrete and continuous models of the dynamics of pelagic fish: Application to the capelin
Mathematics and Computers in Simulation
Application notes: robust morphogenesis of robotic swarms
IEEE Computational Intelligence Magazine
Emergent flocking with low-end swarm robots
ANTS'10 Proceedings of the 7th international conference on Swarm intelligence
Relationships of swarm intelligence and artificial immune system
International Journal of Bio-Inspired Computation
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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.