Grim Under a Compensation Variant

Games on graphs are a well studied subset of combinatorial games. When analyzing a game, heuristics and strategies for winning are often at the forefront of the discussion. One such combinatorial graph game that can be considered is Grim. In Grim there are winning strategies for a variety of well-known families of graphs, many of which favor the first player. Hoping to develop a fairer Grim, we look at Grim played under a slightly different rule set and develop winning strategies for this modified version of the game. Throughout, we compare our new results to those previously known and discuss whether our altered Grim is a fairer game than the original.

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Publication Details

Journal
The PUMP Journal of Undergraduate Research
Published
2024-12-07
DOI
https://doi.org/10.46787/pump.v7i0.2854
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
0.00
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article

Grim Under a Compensation Variant

Aaron Davis, Elizabeth Ann Donovan, Lucas Hoots
The PUMP Journal of Undergraduate Research
Artificial Intelligence in Games
article

Grim Under a Compensation Variant

Aaron Davis, Elizabeth Ann Donovan, Lucas Hoots
article en

Abstract

Games on graphs are a well studied subset of combinatorial games. When analyzing a game, heuristics and strategies for winning are often at the forefront of the discussion. One such combinatorial graph game that can be considered is Grim. In Grim there are winning strategies for a variety of well-known families of graphs, many of which favor the first player. Hoping to develop a fairer Grim, we look at Grim played under a slightly different rule set and develop winning strategies for this modified version of the game. Throughout, we compare our new results to those previously known and discuss whether our altered Grim is a fairer game than the original.

The PUMP Journal of Undergraduate ResearchVol. 7
Murray State University (US), Morehead State University (US)
Openalex Percentile: Top 100%
Artificial Intelligence in Games
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