An optimal MOO strategy
Computer Science and Game Theory
2022-07-12 v1
Abstract
We calculated a fixed strategy that minimizes the average number of guesses (minimum strategy) for the number-guessing game MOO by exhaustive search. Although the minimum strategy for a similar game, mastermind, has been reported, this study seems to be the first to find the minimum strategy for MOO with a larger search space. When two players play against each other in MOO, the minimum strategy is not always the strongest fixed strategy. First, we compute a fixed strategy that has the maximum winning rate when played against the minimum strategy. Then we confirm that there is no fixed strategy with a winning rate exceeding 0.5 against this strategy. This result shows that MOO is a game with the strongest fixed strategy.
Keywords
Cite
@article{arxiv.2207.04845,
title = {An optimal MOO strategy},
author = {Tetsuro Tanaka},
journal= {arXiv preprint arXiv:2207.04845},
year = {2022}
}
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12 pages