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- W3023763951 abstract "Abstract In this paper, we investigate the problem of synthesizing computable functions of infinite words over an infinite alphabet (data $$omega $$ <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML> <mml:mi>ω</mml:mi> </mml:math> -words). The notion of computability is defined through Turing machines with infinite inputs which can produce the corresponding infinite outputs in the limit. We use non-deterministic transducers equipped with registers, an extension of register automata with outputs, to specify functions. Such transducers may not define functions but more generally relations of data $$omega $$ <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML> <mml:mi>ω</mml:mi> </mml:math> -words, and we show that it is PS pace -complete to test whether a given transducer defines a function. Then, given a function defined by some register transducer, we show that it is decidable (and again, PS pace -c) whether such function is computable. As for the known finite alphabet case, we show that computability and continuity coincide for functions defined by register transducers, and show how to decide continuity. We also define a subclass for which those problems are PT ime ." @default.
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- W3023763951 date "2020-01-01" @default.
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- W3023763951 title "On Computability of Data Word Functions Defined by Transducers" @default.
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- W3023763951 doi "https://doi.org/10.1007/978-3-030-45231-5_12" @default.
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