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        <identifier>oai:drops-oai.dagstuhl.de:13297</identifier>
        <datestamp>2024-03-06T10:52:03Z</datestamp>
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          <dc:title>Minimising Good-For-Games Automata Is NP-Complete</dc:title>
          <dc:creator>Schewe, Sven</dc:creator>
          <dc:subject>Good-for-Games Automata</dc:subject>
          <dc:subject>Automata Minimisation</dc:subject>
          <dc:description>This paper discusses the hardness of finding minimal good-for-games (GFG) Büchi, Co-Büchi, and parity automata with state based acceptance. The problem appears to sit between finding small deterministic and finding small nondeterministic automata, where minimality is NP-complete and PSPACE-complete, respectively. However, recent work of Radi and Kupferman has shown that minimising Co-Büchi automata with transition based acceptance is tractable, which suggests that the complexity of minimising GFG automata might be cheaper than minimising deterministic automata.&#13;
We show for the standard state based acceptance that the minimality of a GFG automaton is NP-complete for Büchi, Co-Büchi, and parity GFG automata. The proofs are a surprisingly straight forward generalisation of the proofs from deterministic Büchi automata: they use a similar reductions, and the same hard class of languages.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Sven Schewe</dc:contributor>
          <dc:date>2020</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 182, 40th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2020)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.FSTTCS.2020.56</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-132973</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2020.56</dc:identifier>
          <dc:language>eng</dc:language>
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