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          <dc:title>Nimber-Preserving Reduction: Game Secrets And Homomorphic Sprague-Grundy Theorem</dc:title>
          <dc:creator>Burke, Kyle W.</dc:creator>
          <dc:creator>Ferland, Matthew</dc:creator>
          <dc:creator>Teng, Shang-Hua</dc:creator>
          <dc:subject>Combinatorial Games</dc:subject>
          <dc:subject>Nim</dc:subject>
          <dc:subject>Generalized Geography</dc:subject>
          <dc:subject>Sprague-Grundy Theory</dc:subject>
          <dc:subject>Grundy value</dc:subject>
          <dc:subject>Computational Complexity</dc:subject>
          <dc:subject>Functional-Preserving Reductions</dc:subject>
          <dc:description>The concept of nimbers - a.k.a. Grundy-values or nim-values - is fundamental to combinatorial game theory. Beyond the winnability, nimbers provide a complete characterization of strategic interactions among impartial games in disjunctive sums. In this paper, we consider nimber-preserving reductions among impartial games, which enhance the winnability-preserving reductions in traditional computational characterizations of combinatorial games. We prove that Generalized Geography is complete for the natural class, ℐ^P, of polynomially-short impartial rulesets, under polynomial-time nimber-preserving reductions. We refer to this notion of completeness as Sprague-Grundy-completeness. In contrast, we also show that not every PSPACE-complete ruleset in ℐ^P is Sprague-Grundy-complete for ℐ^P.&#13;
By viewing every impartial game as an encoding of its nimber - a succinct game secret richer than its winnability alone - our technical result establishes the following striking cryptography-inspired homomorphic theorem: Despite the PSPACE-completeness of nimber computation for ℐ^P, there exists a polynomial-time algorithm to construct, for any pair of games G₁, G₂ in ℐ^P, a Generalized Geography game G satisfying: nimber(G) = nimber(G₁) ⊕ nimber(G₂).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Kyle W. Burke and Matthew Ferland and Shang-Hua Teng</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 226, 11th International Conference on Fun with Algorithms (FUN 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.FUN.2022.10</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-159808</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FUN.2022.10</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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