Recognizing Complex Behavior Emerging from Chaos in Cellular Automata

Gabriela M. González, Genaro J. Martínez, M. A. Aziz Alaoui, Fangyue Chen

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this research, we explain and show how a chaotic system displays non-trivial behavior as a complex system. This result is reached modifying the chaotic system using a memory function, which leads to a new system with elements of the original function which are not evident in a first step. We proof that this phenomenology can be apprehended selecting a typical chaotic function in the domain of elementary cellular automata to discover complex dynamics. By numerical simulations, we demonstrate how a number of gliders emerge in this automaton and how some controlled subsystems can be designed within this complex system.

Original languageEnglish
Title of host publicationSpringer Proceedings in Complexity
PublisherSpringer
Pages82-90
Number of pages9
DOIs
StatePublished - 2018

Publication series

NameSpringer Proceedings in Complexity
ISSN (Print)2213-8684
ISSN (Electronic)2213-8692

Keywords

  • Chaos
  • Complex dynamics
  • Emergence
  • Glider guns
  • Gliders
  • Memory

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