Title :
Generalized Percolation Processes Using Pretopology Theory
Author :
Ben Amor, Soufian ; Levorato, Vincent ; Lavallée, Ivan
Author_Institution :
Complex Syst. Modeling & Cognition, Eurocontrol & EPHE Joint Res. Lab., Paris
Abstract :
We propose in this paper a generalization of percolation processes in Z2 using the pretopology theory. We formalize the notion of neighborhood by extending it to the concept of proximity, expressing different types of connections that may exist between the elements of a population. A modeling and simulation of forest fire using this approach shows the efficiency of this formalism to provide a realistic and powerful modeling of complex systems.
Keywords :
distributed processing; fires; forestry; large-scale systems; percolation; complex systems; forest fire simulation; generalized percolation processes; pretopology theory; Cognition; Diseases; Fires; Mathematical model; Petroleum; Physics; Power system modeling; Probability; Silicon carbide; Social network services;
Conference_Titel :
Research, Innovation and Vision for the Future, 2007 IEEE International Conference on
Conference_Location :
Hanoi
Print_ISBN :
1-4244-0694-3
DOI :
10.1109/RIVF.2007.369146