Dynamics of emergent flocking behavior

  • Authors:
  • Masaru Aoyagi;Akira Namatame

  • Affiliations:
  • Dept of Computer Science, National Defense Academy, Yokosuka, Japan;Dept of Computer Science, National Defense Academy, Yokosuka, Japan

  • Venue:
  • ACRI'06 Proceedings of the 7th international conference on Cellular Automata for Research and Industry
  • Year:
  • 2006

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Abstract

Flocking behavior is widely used in virtual reality, computer games, unmanned vehicle, robotics and artificial life However, coordination of multiple flocking behaviors to accomplish such tasks remains a challenging problem This paper reports some progress for implicit coordination and gets swarm intelligence as works based on the flocking behavior It consists of two parts In the first part, we study on the pattern formation problem with avoiding complex constraints, that is how can a group of agents be controlled to get into and maintain a formation The second part considers the studies that use adaptation strategies in controlling multiple agents based on probabilistic methods Specifically we investigated (1) how probabilistic method is used to reorganize generate group (flocking) behaviors, and (2) how adaptation at the individual level is used to make multiple agents respond to obstacles in the environment.