The Bullets Puzzle: A Paper-and-Pencil Minesweeper

被引：0
|
作者：
Neller, Todd W. [1 ]
Tran, Hien G. [1 ]
机构：
[1] Gettysburg Coll, Gettysburg, PA 17325 USA
来源：
THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE | 2022年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we introduce a technique for AI generation of the Bullets puzzle, a paper-and-pencil variant of Minesweeper. Whereas traditional Minesweeper can be lost due to the need to guess mine or non-mine positions, our puzzle is fully deducible from a minimal clue set. Puzzle generation is based on analysis and optimization of solutions from a human-like reasoning engine that classifies types of deductions. Additionally, we provide insights to subjective puzzle quality, minimal clue sampling trade-offs, and optimal bullet density.
引用
收藏
页码：12819 / 12825
页数：7
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