A tractability gap beyond nim-sums: It’s hard to tell whether a bunch of superstars are losers

In this paper, we address a natural question at the intersection of combinatorial game theory and computational complexity: “Can a sum of simple tepid games in canonical form be intractable?” To resolve this fundamental question, we consider superstars , positions first introduced in Winning Ways where all options are nimbers . Extending Morris’ classic result with hot games to tepid games, we prove that disjunctive sums of superstars are intractable to solve. This is striking as sums of nimbers can be computed in linear time. Our analysis shows that the game Paint Can is intractable and also yields a new intractable game, Blackout . We present web-playable versions of both games.

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Publication Details

Journal
Theoretical Computer Science
Published
2025-11-26
DOI
https://doi.org/10.1016/j.tcs.2025.115656
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
0.00
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article

A tractability gap beyond nim-sums: It’s hard to tell whether a bunch of superstars are losers

Matthew Ferland, Kyle Burke, Svenja Huntemann, Shang‐Hua Teng
Theoretical Computer Science
Artificial Intelligence in Games
article

A tractability gap beyond nim-sums: It’s hard to tell whether a bunch of superstars are losers

Matthew Ferland, Kyle Burke, Svenja Huntemann, Shang‐Hua Teng
article en

Abstract

In this paper, we address a natural question at the intersection of combinatorial game theory and computational complexity: “Can a sum of simple tepid games in canonical form be intractable?” To resolve this fundamental question, we consider superstars , positions first introduced in Winning Ways where all options are nimbers . Extending Morris’ classic result with hot games to tepid games, we prove that disjunctive sums of superstars are intractable to solve. This is striking as sums of nimbers can be computed in linear time. Our analysis shows that the game Paint Can is intractable and also yields a new intractable game, Blackout . We present web-playable versions of both games.

Theoretical Computer ScienceVol. 1062
University of Southern California (US), Florida Southern College (US), Mount Saint Vincent University (CA)
Openalex Percentile: Top 80%
Artificial Intelligence in Games
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A tractability gap beyond nim-sums: It’s hard to tell whether a bunch of superstars are losers — Matthew Ferland, Kyle Burke, et al. · Theoretical Computer Science (2025) | TGRS Research Map | TGRS