A Practical Method for Preventing Forced Wins in Ultimate Tic-Tac-Toe
Justin Diamond

TL;DR
This paper introduces a simple randomization method for the initial moves in Ultimate Tic-Tac-Toe to prevent forced wins, enhancing game fairness without altering core rules.
Contribution
It presents a practical approach using random digits to avoid forced wins, addressing a known strategic vulnerability in Ultimate Tic-Tac-Toe.
Findings
The probability of a forced win after random initial moves is 56/59049.
The method effectively reduces the likelihood of forced wins in practical gameplay.
Provides a simple, rule-preserving solution to a strategic flaw in the game.
Abstract
Ultimate Tic-Tac-Toe is a variant of the popular Tic-Tac-Toe game. Two players compete to win three aligned "fields," with each field constituting its own miniature tic-tac-toe game. Each move determines which field the next player must play in. Prior studies have shown that there exists a forced winning strategy for the first player, whereby they can win in at least 29 moves and at most 43 moves. This paper proposes a practical solution to the forced-win problem discovered by Bertholon et al., by putting forth a simple method for randomizing the first set of moves that are played. This method uses 5 randomly generated digits between 0 and 8 to arbitrarily place the first 4 moves of the game, and helps players avoid forced wins without having to change other rules of the game. This paper also investigates the probability that a random placement of the first 4 moves will lead to an…
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Taxonomy
TopicsSports Analytics and Performance · Gambling Behavior and Treatments · Artificial Intelligence in Games
