Strategies in a mis\`ere two-player tree searching game
Ben Andrews

TL;DR
This paper analyzes a misère tree searching game involving guessing vertices to find a poisoned node, providing optimal strategies for paths and stars, and examining outcomes between different player types.
Contribution
It offers the first detailed solution for the game on path and star graphs, including strategies for optimal and mixed-player scenarios.
Findings
Optimal strategies depend on n modulo 4 for paths.
Probability of exploitative player winning approaches 0.599 for large n.
Vertices near leaves are always optimal guesses for exploitative players.
Abstract
In this paper, we analyse a misere tree searching game, where players take turns to guess vertices in a tree with a secret `poisoned' vertex. After each turn, the guessed vertex is removed from the tree and the game continues on the component containing the poisoned vertex, and as soon as a player guesses the poisoned vertex, they lose. We describe and prove the solution when the game is played on a path graph, both between two optimal players and between a player who makes their decisions uniformly at random and an opponent who plays to exploit this. We show that, with two perfect players, the solution involves different guessing strategies depending on the value of n modulo 4. We then show that, with a random and an exploitative player, the probability that the exploitative player wins approaches a constant (approximately 0.599) as n increases, and that the vertices one away from the…
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Taxonomy
TopicsArtificial Intelligence in Games · Guidance and Control Systems
