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        <datestamp>2025-10-02T12:57:48Z</datestamp>
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          <dc:title>The Memory of ω-Regular and BC(Σ⁰₂) Objectives</dc:title>
          <dc:creator>Casares, Antonio</dc:creator>
          <dc:creator>Ohlmann, Pierre</dc:creator>
          <dc:subject>Infinite duration games</dc:subject>
          <dc:subject>Strategy complexity</dc:subject>
          <dc:subject>Omega-regular</dc:subject>
          <dc:description>In the context of 2-player zero-sum infinite duration games played on (potentially infinite) graphs, the memory of an objective is the smallest integer k such that in any game won by Eve, she has a strategy with ≤ k states of memory. For ω-regular objectives, checking whether the memory equals a given number k was not known to be decidable. In this work, we focus on objectives in BC(Σ⁰₂), i.e. recognised by a potentially infinite deterministic parity automaton. We provide a class of automata that recognise objectives with memory ≤ k, leading to the following results:  &#13;
- for ω-regular objectives, the memory can be computed in NP; &#13;
- given two objectives W₁ and W₂ in BC(Σ⁰₂) and assuming W₁ is prefix-independent, the memory of W₁ ∪ W₂ is at most the product of the memories of W₁ and W₂.  Our results also apply to chromatic memory, the variant where strategies can update their memory state only depending on which colour is seen.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Antonio Casares and Pierre Ohlmann</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 334, 52nd International Colloquium on Automata, Languages, and Programming (ICALP 2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2025.149</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-235267</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2025.149</dc:identifier>
          <dc:language>eng</dc:language>
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