Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Cellular Automata and Models of Computation
Article type: Research Article
Authors: Arrighi, Pablo; | Schabanel, Nicolas; | Theyssier, Guillaume
Affiliations: Université de Grenoble (LIG, UMR 5217), France | Université de Lyon (LIP, UMR 5668), France. pablo.arrighi@imag.fr | CNRS, Université Paris Diderot (LIAFA, UMR 7089), France | Université de Lyon (IXXI), France. nicolas.schabanel@liafa.fr | CNRS, Université de Savoie (LAMA, UMR 5127), France. guillaume.theyssier@univ-savoie.fr
Note: [] This work has been partially funded by the ANR-10-JCJC-0208 CausaQ grant. Address for correspondence: Université de Grenoble (LIG, UMR 5217), France
Note: [] This work has been partially funded by the ANR-2010-BLAN-0204 Magnum and ANR-12-BS02-005 RDAM grants.
Abstract: This paper introduces a simple formalism for dealing with deterministic, non-deterministic and stochastic cellular automata in an unified and composable manner. This formalism allows for local probabilistic correlations, a feature which is not present in usual definitions. We show that this feature allows for strictly more behaviors (for instance, number conserving stochastic cellular automata require these local probabilistic correlations). We also show that several problems which are deceptively simple in the usual definitions, become undecidable when we allow for local probabilistic correlations, even in dimension one. Armed with this formalism, we extend the notion of intrinsic simulation between deterministic cellular automata, to the non-deterministic and stochastic settings. Although the intrinsic simulation relation is shown to become undecidable in dimension two and higher, we provide explicit tools to prove or disprove the existence of such a simulation between any two given stochastic cellular automata. Those tools rely upon a characterization of equality of stochastic global maps, shown to be equivalent to the existence of a stochastic coupling between the random sources. We apply them to prove that there is no universal stochastic cellular automaton. Yet we provide stochastic cellular automata achieving optimal partial universality, as well as a universal non-deterministic cellular automaton.
DOI: 10.3233/FI-2013-875
Journal: Fundamenta Informaticae, vol. 126, no. 2-3, pp. 121-156, 2013
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl