Self-Assembling of Networks in an Agent-Based Model

Abstract

We propose a model to show the self-assembling of network-like structures between a set of nodes without using preexisting positional information or long-range attraction of the nodes. The model is based on Brownian agents that are capable of producing different local (chemical) information and respond to it in a non-linear manner. They solve two tasks in parallel: (i) the detection of the appropriate nodes, and (ii) the establishment of stable links between them. We present results of computer simulations that demonstrate the emergence of robust network structures and investigate the connectivity of the network by means of both analytical estimations and computer simulations. PACS: 05.65.+b, 89.75.Kd, 84.30.Bv, 87.18.Sn

10 pages, 8 figures. A video of the computer simulations can be found at http://www.ais.fhg.de/~frank/network.html. After publication, this paper was also included in: Virtual Journal of Biological Physics Research 4/5 (September 1, 2002) and Virtual Journal of Nanoscale Science & Technology 6/10 (September 2, 2002). For related work, see also http://www.ais.fhg.de/~frank/active.html

References in corpus (2)

• Collective behavior of interacting self-propelled particles
• Statistical Mechanics of Canonical-Dissipative Systems and Applications to Swarm Dynamics

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