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- Frank Schweitzer, Jörg Zimmermann:
-
Communication
and Self-Organization in Complex Systems: A Basic Approach
- in:
-
Knowledge, Complexity and Innovation Systems
(Eds. M. M. Fischer,
J. Fröhlich)
(Advances in Spatial Sciences)
Springer, Berlin 2001, pp. 275-296
- Abstract:
-
Complex Systems usually consist of a large number of interacting
components; therefore multi-agent models can play a valuable role in
exploring and simulating their dynamic behavior. In the first part of
this paper we address some conceptual issues associated with designing
agent-based models for complex systems. In the second part we
investigate the dynamics of a ``minimalistic'' multi-agent system,
where spatially distributed agents communicate via a spatio-temporal
multicomponent ``communication field''. For the example of a binary
choice problem we find the emergence of a majority/minority relation
among the agents. Moreover, the minority and the majority concentrate
in particular spatial domains; thus we observe a spatial coordination
of decisions as the result of a self-organization process based on the
exchange of information. We also show by means of computer simulations
that the subpopulation with the more efficient communication will have
a better chance to become the majority in the system.
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