Simulating self-organizing behaviors of fish school

  • Authors:
  • Ye Yuan;Zhongke Wu

  • Affiliations:
  • Beijing Normal University, Beijing;Beijing Normal University, Beijing

  • Venue:
  • Proceedings of the 3rd International Symposium on Visual Information Communication
  • Year:
  • 2010

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Abstract

The self-organizing behavior of a group emerges from the interaction of many individuals. According to this characteristic, the agent-based simulation method is investigated to implement these autonomous fish to create group motion. Here simulating cluster motion, avoidance, and escape of the fish school, and efficient aggregate algorithms are investigated. Moreover, rendering efficiency is improved by taking the advantage of a 3D engine.