Title:
Geometric Foraging Strategies in Multi-Agent Systems Based on Biological Models
Geometric Foraging Strategies in Multi-Agent Systems Based on Biological Models
Author(s)
Haque, Musad A.
Rahmani, Amir R.
Egerstedt, Magnus B.
Rahmani, Amir R.
Egerstedt, Magnus B.
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Abstract
In nature, communal hunting is often performed
by predators by charging through an aggregation of prey. However,
it has been noticed that variations exist in the geometric
shape of the charging front; in addition, distinct differences
arise between the shapes depending on the particulars of the feeding strategy. For example, each member of a dolphin
foraging group must contribute to the hunt and will only be
able to eat what it catches. On the other hand, some lions earn
a "free lunch" by feigning help and later feasting on the prey
caught by the more skilled hunters in the foraging group. We
model the charging front of the predators as a curve moving
through a prey density modeled as a reaction-diffusion process
and we optimize the shape of the charging front in both the
free lunch and no-free-lunch cases. These different situations
are simulated under a number of varied types of predator-prey
interaction models, and connections are made to multi-agent
robot systems.
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Date Issued
2010-12
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