Winning the War by (Strategically) Losing Battles: Settling the Complexity of Grundy-Values in Undirected Geography
Kyle Burke, Matthew Ferland, Shanghua Teng

TL;DR
This paper proves that computing Grundy values in Undirected Geography is PSPACE-complete for degree-four graphs, revealing a sharp complexity transition, and extends hardness results to sums of impartial games, impacting classical combinatorial game theory.
Contribution
It establishes the PSPACE-completeness of Grundy-value computation in Undirected Geography for degree-four graphs and constructs instances with large Grundy values, revealing a phase transition in complexity.
Findings
Grundy value computation is polynomial-time for degree-three graphs.
Grundy value computation is PSPACE-hard for degree-four graphs.
Hardness of sums of impartial games extends to natural rulesets.
Abstract
We settle two long-standing complexity-theoretical questions-open since 1981 and 1993-in combinatorial game theory (CGT). We prove that the Grundy value (a.k.a. nim-value, or nimber) of Undirected Geography is PSPACE-complete to compute. This exhibits a stark contrast with a result from 1993 that Undirected Geography is polynomial-time solvable. By distilling to a simple reduction, our proof further establishes a dichotomy theorem, providing a "phase transition to intractability" in Grundy-value computation, sharply characterized by a maximum degree of four: The Grundy value of Undirected Geography over any degree-three graph is polynomial-time computable, but over degree-four graphs-even when planar and bipartite-is PSPACE-hard. Additionally, we show, for the first time, how to construct Undirected Geography instances with Grundy value and size polynomial in n. We…
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Taxonomy
TopicsArtificial Intelligence in Games · Computability, Logic, AI Algorithms · Advanced Graph Theory Research
