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Emergent Behaviors on Coevolutionary Networks of Chaotic Dynamical Systems

  • A. AnzoEmail author
  • J. G. Barajas-Ramírez
Part of the Emergence, Complexity and Computation book series (ECC, volume 14)

Abstract

Coevolutionary networks involve two simultaneous dynamical processes: structural evolution and dynamics of nodes. In this context, a current research topic has been the role of coevolution in the emergence of self-organized phenomena. In order to investigate this topic, we propose a network model where each node is a chaotic dynamical system and, simultaneously, the structure of the network evolves according to a local rule. In particular, the local rule updates synchronously the binary state of each link as either “on” or “off”. We define the local rule in terms of the state variables of the nodes and the structural features of the network. After iterate the local rule we observe two types of emergent behaviors: the network achieves complete synchronization; and the formation of structural patterns which are displayed in the coupling matrix.

Keywords

Cellular Automaton Cellular Automaton Near Neighbor Coupling Matrix Local Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.División de Matemáticas AplicadasIPICyTSan Luis Potosí, S.L.P.México

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