Stochastic Cellular Automata Model to Reduce Rule Space Cardinality Applied to Task Scheduling with Many Processors

Author(s):  
Tiago Ismailer de Carvalho ◽  
Gina Maira Barbosa de Oliveira
2011 ◽  
Vol 22 (06) ◽  
pp. 607-621 ◽  
Author(s):  
KLAUS LICHTENEGGER ◽  
WILHELM SCHAPPACHER

In this paper a stochastic cellular automata model is examined, which has been developed to study a "small" world, where local changes may noticeably alter global characteristics. This is applied to a climate model, where global temperature is determined by an interplay between atmospheric carbon dioxide and carbon stored by plant life. The latter can be released by forest fires, giving rise to significant changes of global conditions within short time.


2006 ◽  
Vol 59 (12) ◽  
pp. 865
Author(s):  
Paul G. Seybold ◽  
Matthew J. O'Malley ◽  
Lemont B. Kier ◽  
Chao-Kun Cheng

Phase transitions and phase equilibria are among the most fundamental phenomena in the physical and environmental sciences. In the present work an asynchronous stochastic cellular automata model for the equilibrium between a liquid and its vapor is presented. The model is visual, dynamic, and employs just two rules—an attraction probability and a gravitational preference. Application of the attraction rule alone yields a ‘mist’ within the vapor, whereas application of the gravitational rule by itself yields an isothermal atmospheric profile. Application of both rules together causes the vapor to evolve to a liquid phase with a vapor phase above it. Introduction of a third rule for short-range attraction/repulsion more clearly resolves the liquid/vapor interface.


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