Nimber-preserving reduction: Game secrets and homomorphic Sprague-Grundy theorem
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 amon...
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Veröffentlicht in: | Theoretical computer science 2024-07, Vol.1005, p.114636, Article 114636 |
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Sprache: | eng |
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Zusammenfassung: | 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, IP, 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 IP is Sprague-Grundy-complete for IP.
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 IP, there exists a polynomial-time algorithm to construct, for any pair of games G1,G2 in IP, a Generalized Geography game G satisfying:nimber(G)=nimber(G1)⊕nimber(G2). |
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ISSN: | 0304-3975 1879-2294 |
DOI: | 10.1016/j.tcs.2024.114636 |