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Index Problems for Game Automata

Index problems for game automata
Authors: Alessandro Facchini; Filip Murlak; Michal Skrzypczak;

Index Problems for Game Automata

Abstract

For a given regular language of infinite trees, one can ask about the minimal number of priorities needed to recognize this language with a nondeterministic, alternating, or weak alternating parity automaton. These questions are known as, respectively, the nondeterministic, alternating, and weak Rabin-Mostowski index problems. Whether they can be answered effectively is a long-standing open problem, solved so far only for languages recognizable by deterministic automata (the alternating variant trivializes). We investigate a wider class of regular languages, recognizable by so-called game automata, which can be seen as the closure of deterministic ones under complementation and composition. Game automata are known to recognize languages arbitrarily high in the alternating Rabin-Mostowski index hierarchy; that is, the alternating index problem does not trivialize anymore. Our main contribution is that all three index problems are decidable for languages recognizable by game automata. Additionally, we show that it is decidable whether a given regular language can be recognized by a game automaton.

Keywords

parity games, FOS: Computer and information sciences, Rabin-Mostowski index, Formal Languages and Automata Theory (cs.FL), automata over infinite trees, Computer Science - Formal Languages and Automata Theory, Formal languages and automata, alternation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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