Title
Computational Limitations Of Affine Automata And Generalized Affine Automata
Abstract
We present new results on the computational limitations of affine automata (AfAs). First, we show that using the endmarker does not increase the computational power of AfAs. Second, we show that the computation of bounded-error rational-valued AfAs can be simulated in logarithmic space. Third, we identify some logspace unary languages that are not recognized by algebraic-valued AfAs. Fourth, we show that using arbitrary real-valued transition matrices and state vectors does not increase the computational power of AfAs in the unbounded-error model. When focusing only the rational values, we obtain the the same result also for bounded error. As a consequence, we show that the class of bounded-error affine languages remains the same when the AfAs are restricted to use rational numbers only.
Year
DOI
Venue
2021
10.1007/s11047-020-09815-1
NATURAL COMPUTING
Keywords
DocType
Volume
Non-classical models of automata, Affine automata, Logarithmic space, Generalized automata, Cutpoint languages, Bounded error
Journal
20
Issue
ISSN
Citations 
2
1567-7818
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Mika Hirvensalo116321.19
Etienne Moutot211.71
Abuzer Yakaryilmaz316825.31