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IFIPTCS
2000

Real-Time Language Recognition by Alternating Cellular Automata

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Real-Time Language Recognition by Alternating Cellular Automata
The capabilities of alternating cellular automata (ACA) to accept formal languages are investigated. Several notions of alternation in cellular automata have been proposed. Here we study so-called nonuniform ACAs. Our investigations center on space bounded real-time computations. In particular, we prove that there is no difference in acceptance power regardless of whether one-way or two-way communication lines are provided. Moreover, the relations between real-time ACAs and deterministic (CA) and nondeterministic (NCA) cellular automata are investigated. It is proved that even the real-time ACAs gain exponential speed-up against nondeterministic NCAs. Comparing ACAs with deterministic CAs it is shown that real-time ACAs are strictly more powerful than real-time CAs.
Thomas Buchholz, Andreas Klein, Martin Kutrib
Added 25 Aug 2010
Updated 25 Aug 2010
Type Conference
Year 2000
Where IFIPTCS
Authors Thomas Buchholz, Andreas Klein, Martin Kutrib
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