Abstract
The previous chapter showed how the model of Brownian agents with an internal parameter θi can be used to simulate structures in reaction-diffusion systems. In this chapter, we want to explore this idea further: the internal parameter θi ∈ −1, 0, +1 shall describe three different responses to the components of an effective field that can be further changed by Brownian agents, depending on their actual value of θi(t). The internal energy depot as another internal degree of freedom shall not be considered here. The model shall be applied to the generation of a specific pattern, which can be denoted as a network of links among arbitrary nodes. The self-organized formation of links among a set of nodes is of interest in many different fields. In electronic engineering, for instance, one is interested in self-assembly and self-repair of electrical circuits, and in biology, models for self-wiring and neuronal networks are investigated. On the social level, the self-organization of trail networks among different destinations is a similar problem, which will be discussed in detail in Sects. 5.4 and 6.2. The establishment of connections on demand in telecommunication or logistics is also related to the problem discussed here.
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© 2007 Springer-Verlag Berlin Heidelberg
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(2007). Self-Organization of Networks. In: Brownian Agents and Active Particles. Springer Series in Synergetics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73845-9_4
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DOI: https://doi.org/10.1007/978-3-540-73845-9_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73844-2
Online ISBN: 978-3-540-73845-9
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