Reference:
J. van Ast,
R. Babuska, and
B. De Schutter,
"A general modeling framework for swarms," Proceedings of the 2008
IEEE Congress on Evolutionary Computation (CEC 2008), Hong Kong,
pp. 3796-3801, June 2008.
Abstract:
Swarms are characterized by the ability to generate complex behavior
from the coupling of simple individuals. While the swarm approach to
distributed systems of moving agents is gradually finding a way to
engineering applications, a true successful demonstration of an
engineered swarm is still missing. One of the reasons for this is the
gap between the complexity of the swarms studied in fundamental
research and the complexity needed for the application to interesting
control problems. In the majority of the research on swarm intelligent
systems, the moving agents in the swarm are modeled as simple reactive
agents. This model comprises too little intelligence to fully exploit
the potential of swarms. In this paper, a general comprehensive swarm
framework is introduced and related to the established state of the
art. Such a framework is novel and it is a first and important step in
the development and analysis of more complex and intelligent swarms.