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Evolution of asynchronous Cellular Automata: finding the good compromise

Capcarrere, Mathieu S. (2002) Evolution of asynchronous Cellular Automata: finding the good compromise. In: Langdon, William B. and Cantu-Paz, Erick and Mathias, Keith E. and Roy, Rajkumar and Davis, David and Balakrishnan, Karthik and Poli, Riccardo and Honavar, Vasant and Rudolph, G. and Wegener, Joachim and Bull, Larry and Potter, M.A. and Schultz, A.C. and Millan, J.F. and Burke, E.K. and Junoska, N., eds. Proceedings of the 4th Annual Conference on Genetic and Evolutionary Computation. Morgan Kaufmann, San Francisco, California, USA. ISBN 1-55860-878-8. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13761)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)

Abstract

One of the prominent features of the Cellular Automata (CA) model is its synchronous mode of operation, meaning that all cells are updated simultaneously. But this feature is far from being realistic from a biological point of view as well as from a computational point of view. Past research has mainly concentrated on studying Asynchronous CAs in themselves, trying to determine what behaviors were an "artifact" of the global clock. In this paper, I propose to evolve Asynchronous CAs that compute successfully one of the well-studied task for regular CAs: The synchronization task. As I will show evolved solutions are both unexpected and best for certain criteria than a perfect solution. The model used is fully asynchronous. Each cell has the same probability pf of not updating its state at each step.

Item Type: Book section
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 17:59 UTC
Last Modified: 16 Feb 2021 12:24 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/13761 (The current URI for this page, for reference purposes)
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