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- Robert Mach, Frank Schweitzer:
-
Multi-Agent Model of Biological Swarming
- in:
-
W. Banzhaf, T. Christaller, P. Dittrich, J. T. Kim, J. Ziegler (Eds):
Advances in Artificial Life.
Proceedings 7th European Conference On Artificial Life (ECAL),
14-17 September 2003. Dortmund, Germany
Lecture Notes in Artificial Intelligence (LNAI), vol. 2801, pp. 810--820, Springer, Berlin 2003
- Abstract:
-
An agent-based approach is used to explain the formation of vortex
swarms in biological systems. The dynamics of the multiagent system
is described by 3N coupled equations, modeling for each agent
its position, its velocity and its internal energy depot. The energy
depot considers the conditions for active biological motion, such as
energy take-up, metabolism, and energy conversion. The equation of
motion results from a superposition of deterministic and
stochastic terms (random noise). The deterministic part
considers indirect interactions with other agents to describe local
avoidance behavior, and external influences resulting from an
attractive environmental potential. Stochastic computer simulations of
the multi-agent system are shown in very good agreement with the
behavior observed in Daphnia swarms.
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