Lecture Notes in Computer Science, 2002, Volume 2493/2002, 44-55, DOI: 10.1007/3-540-45830-1_5

Artificially Evolved Asynchronous Cellular Automata for the Density Task

Marco Tomassini and Mattias Venzi

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Abstract

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.

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