A Study of Recursion Relations and Supermex Operators in Simple Combinatorial Games for Application in Renormalization.

This study investigates recursion relations and supermex operators within the frameworks of simple combinatorial games: Three-Stack Nim, Three-Row Chomp, and a variant of Three-Stack Nim. Game positions were mapped to 3D coordinates [x, y, z] and represented as separately indexed, semi-infinite 2D sheets. Loser sheets (L-sheets) and Instant Winner sheets (IN-sheets or W-sheets) were defined to identify P-positions (previous player wins) and N-positions (next player to move wins). These sheets were related by the recursion operator (Wx+1 = RWx), and supermex operator, (Lx = MWx), to generate all the possible P-positions. For the variant Nim game, auxiliary sheets were required to explain the recursion relation. Deriving these operators is the base for applying renormalization, a method which allows one to calculate detailed probabilities of the geometries of a game’s P-positions.

Publication Details

Journal
Scholarship @ Claremont (The Claremont Colleges)
Published
2025-01-01
Primary Topic
Artificial Intelligence in Games
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article
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article

A Study of Recursion Relations and Supermex Operators in Simple Combinatorial Games for Application in Renormalization.

Scholarship @ Claremont (The Claremont Colleges)
Artificial Intelligence in Games
article

A Study of Recursion Relations and Supermex Operators in Simple Combinatorial Games for Application in Renormalization.

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Abstract

This study investigates recursion relations and supermex operators within the frameworks of simple combinatorial games: Three-Stack Nim, Three-Row Chomp, and a variant of Three-Stack Nim. Game positions were mapped to 3D coordinates [x, y, z] and represented as separately indexed, semi-infinite 2D sheets. Loser sheets (L-sheets) and Instant Winner sheets (IN-sheets or W-sheets) were defined to identify P-positions (previous player wins) and N-positions (next player to move wins). These sheets were related by the recursion operator (Wx+1 = RWx), and supermex operator, (Lx = MWx), to generate all the possible P-positions. For the variant Nim game, auxiliary sheets were required to explain the recursion relation. Deriving these operators is the base for applying renormalization, a method which allows one to calculate detailed probabilities of the geometries of a game’s P-positions.

Scholarship @ Claremont (The Claremont Colleges)
Openalex Percentile: Top 72%
Artificial Intelligence in Games
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