On the Existence of Optimal Strategies in a Combinatorial Game
Tim Rammenstein

TL;DR
This paper analyzes a combinatorial game based on a mathematical competition problem, identifying winning strategies depending on set size and parameters, and demonstrates results with a web implementation.
Contribution
It introduces a generalized version of the game and characterizes winning strategies for various game variants based on set size and parameters.
Findings
Second player wins for even-sized sets
First player wins for many odd-sized sets
Web implementation validates theoretical results
Abstract
We study a combinatorial game derived from a problem in the German National Mathematics Competition. In this game, two players take turns removing numbers from a finite set of natural numbers, aiming to satisfy a certain divisibility condition. We introduce a generalized version of the original game, which depends on two parameters: the size of the initial number set and a fixed divisor. For both players, we identify a broad range of game variants in which they can force a win. In particular, we show that for even-sized sets, the second player to move can always win, while for many odd-sized cases, the first player to move has a winning strategy. A web implementation of the game demonstrates some of our results in practice.
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Taxonomy
TopicsArtificial Intelligence in Games · Polynomial and algebraic computation · Computability, Logic, AI Algorithms
