Evolution of Parallel Cellular Machines: The Cellular Programming Approach
Evolution of Parallel Cellular Machines: The Cellular Programming Approach
International Journal of Bioinformatics Research and Applications
ACRI'10 Proceedings of the 9th international conference on Cellular automata for research and industry
A study on learning robustness using asynchronous 1D cellular automata rules
Natural Computing: an international journal
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In this paper we study the evolution of asynchronous automata for the density task. We compare our results with those obtained for synchronous automata and we describe the influence of various asynchronous update policies on the computational strategy. We also investigate how synchronous and asynchronous cellular automata behave under noisy conditions and show that asynchronous ones are more fault-tolerant.