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#quality-diversity
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Shyne et al.: How Far Do Puzzle Solver Loops Match Human Felt Difficulty — Fukai Reads
A logic-grid-puzzle difficulty study by Shyne, Facey & Cooper. Using solver loops (the pass count of a human-style solver) as a difficulty proxy, they generate difficulty-varied puzzles with a quality-diversity algorithm and, in a 63-player study, show solver loops correlate significantly with subjective difficulty (c=0.30, p=0.015).
Nasir 等人：让游戏「规则本身」进化——Fukai 解读 MORTAR
Nasir、Togelius 等人关于自动游戏设计的论文。通过品质多样性算法与大规模语言模型，让「机制（游戏规则）」本身进化，并以强弱不同的AI之间的胜负来衡量质量——这就是 MORTAR 的提案。利用 GPT-4o-mini 生成多样且可玩的游戏，并将各机制的贡献度数值化。
