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BMCBI
2004
121views more  BMCBI 2004»
13 years 7 months ago
Asynchronous adaptive time step in quantitative cellular automata modeling
Background: The behaviors of cells in metazoans are context dependent, thus large-scale multicellular modeling is often necessary, for which cellular automata are natural candidat...
Hao Zhu, Peter Y. H. Pang, Yan Sun, Pawan Dhar
ICTAI
2003
IEEE
14 years 20 days ago
Genetic Algorithm Calibration of Probabilistic Cellular Automata for Modeling Mining Permit Activity
We use a genetic algorithm to calibrate a spatially and temporally resolved cellular automata to model mining activity on public land in Idaho and western Montana. The genetic alg...
Sushil J. Louis, Gary L. Raines
ICANN
2009
Springer
13 years 12 months ago
Computing with Probabilistic Cellular Automata
Abstract. We investigate the computational capabilities of probabilistic cellular automata by means of the density classification problem. We find that a specific probabilistic ...
Martin Schüle, Thomas Ott, Ruedi Stoop
FCT
2005
Springer
14 years 27 days ago
On the Expressiveness of Asynchronous Cellular Automata
We show that a slightly extended version of asynchronous cellular automata, relative to any class of pomsets and dags without autoconcurrency, has the same expressive power as the ...
Benedikt Bollig
HIS
2004
13 years 8 months ago
A Fuzzy Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm
In this paper, a new fuzzy clustering algorithm that uses cellular learning automata based evolutionary computing (CLA-EC) is proposed. The CLA-EC is a model obtained by combining...
Reza Rastegar, A. R. Arasteh, Arash Hariri, Mohamm...