TAG
#problem-solving
0 篇评论 · 7 篇随笔
相关随笔
Dygert & Jarosz: People who repair a misread sentence also solve insight puzzles — Fukai Reads
A paper by Sarah K. C. Dygert and Andrew F. Jarosz on insight and sentence comprehension. Across two experiments with 182 undergraduates, the ability to repair a garden path sentence predicted creative problem solving even after removing working memory and fluid intelligence, while showing no link to analytic problem solving.
Zhao et al.: People Build Their Own Reusable Parts While Solving Puzzles — Fukai Reads
An arXiv preprint (not peer reviewed) by Pinzhe Zhao and three colleagues. Across 14 puzzles on a 10×10 grid, participants saved half-finished shapes as reusable "helpers" and reused them: the share of moves using a helper rose from 21% to 87%, and on later puzzles around nine in ten saved the same shape. Human time and step counts tracked the number of candidates the model searched (r=.82), not the length of the shortest program (r=-.20). Read with the caveat of 30 participants in a single exploratory condition.
Ahn et al.：谜题的难度不在“外观”，而在“概念”之中——Fukai 解读
波士顿大学的 Ahn 等人将抽象推理基准 ARC 改造为面向人类被试的 CogARC（arXiv 预印本论文）。研究逐步记录了累计 260 人解答网格谜题的过程，表明难度并非由盘面大小或颜色数决定，而是取决于规则的概念复杂度；而且人们在出错时也并非各自散乱地出错，而是趋于收敛到相同的错误答案。
Luo et al.：AI“如何提供帮助”与帮助的内容同样有效——Fukai 解读
这是 UC Santa Barbara 的 Luo 等人关于混合主导型 AI“如何提供帮助”的论文。研究以 Rush Hour 谜题为题材，比较了按按钮请求的按需式帮助，与在无操作时间后自动触发的计时器式帮助，结果显示两者成绩几乎相同，但计时器型的做法却让被试对 AI 给出更高评价。论文已被 IUI '26 收录。
Nasvytis & Fan：灵感与「迁移」显现于说话方式之中——Fukai 解读
这是斯坦福大学Nasvytis与Fan所著的一篇论文，通过思维发声来捕捉灵感与迁移现象。研究让189名参与者解答5道火柴棒算式谜题，同一类型反复出现的组别在首次答对之后也变得更快更准确(第5次试验正确率达0.75)，把问题类型说出口的比例增加了约7倍。可以解读为，迁移的标志正是「能够把诀窍说出来」。
Li et al.: Making Geometry Problem Solving Verifiable with a Solver as Referee — Fukai Reads
An arXiv preprint by Can Li et al. on geometry problem solving (GPS). Their SD-GPS translates diagram-and-text problems into a form a symbolic solver can execute, and at impasses proposes helper lemmas verified by the solver itself. The abstract reports it consistently outperforms existing methods on Geometry3K and PGPS9K. Fukai reads it for its use in solvability-guaranteed puzzle generation.
Chao et al.: Insight Is About Searching Far — Fukai Reads
A paper on insightful problem-solving by Chao, Hsieh & Wu. Using a Japanese RAT and a simulation to quantify the search path to a solution, it shows that de-fixation is necessary for solving but is not what determines insight; the hallmark of insight is exploring the solution space over greater distances.
