Cellular Automata and Random Field: Statistical Analysis of Complex Space-Time Systems

Author(s):  
Mario Di Traglia
2003 ◽  
Vol 14 (04) ◽  
pp. 491-499 ◽  
Author(s):  
JUAN R. SANCHEZ

Cellular automata (CA) can be considered as discrete dynamical systems exhibiting a rich intrinsic behavior both in space and time. Starting from disordered initial configurations and according to different local evolution rules, CA can evolve into steady states showing regular or complex space–time structures. These structures have been shown to have fractal and multifractal properties. Here, the multifractal properties of linear one-dimensional cellular automata with complex spatio-temporal behaviors are calculated using discrete wavelets transforms.


2015 ◽  
Vol 59 (2) ◽  
pp. 89-99 ◽  
Author(s):  
N. S. Kardashev ◽  
L. N. Lipatova ◽  
I. D. Novikov ◽  
A. A. Shatskiy

2014 ◽  
Vol 116 (14) ◽  
pp. 445-464
Author(s):  
Jrène Rahm

The chapter explores the space–time configuration of youth-voice driven science practices outside of school that are part of an emergent field of study known as informal science education (ISE). Education is an emergent phenomenon grounded in a relational geography of youths’ complex space–time configurations. A focus on youths’ mobilities offers new insights into the manner youth contribute to their own learning and becoming.


2020 ◽  
Vol 34 (12) ◽  
pp. 2823-2825 ◽  
Author(s):  
Faye L. Jackson ◽  
Robert J. Fryer ◽  
David M. Hannah ◽  
Iain A. Malcolm

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