Wason Selection Task

kaggle2024-07-31 更新2024-10-12 收录

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资源简介：

Wason Selection Task: Gdm LM Content Effects

Wason 选择任务：Gdm LM 内容效应

创建时间：

2024-07-31

Wason Selection Task dataset

该数据集名为Wason Selection Task dataset，由庆应义塾大学和东京大学的研究团队创建，旨在系统地区分义务性条件句和描述性条件句。数据集包含160个问题，其中80个涉及义务性规则，80个涉及描述性规则，每个规则极性模式包含20个问题。数据集的构建过程包括明确编码义务性模态，以便在不同规则类型之间进行系统比较。该数据集主要用于评估大型语言模型在义务性规则下的条件推理能力，旨在揭

arXiv2026-03-06 更新360

Thinking in opposites improves hypothesis testing performance in Wason’s rule discovery task

We investigated whether thinking in opposites can facilitate the solution process in Wason’s rule discovery task. Participants were exposed to three conditions: training prompting an analysis of the p

DataCite Commons2024-07-04 更新40

Wason's rule & opposites

Training people to think in opposites facilitates the falsification process in Wason’s rule discovery task.

IEEE20

Thinking in opposites improves hypothesis testing performance in Wason’s rule discovery task

IEEE00

Wason's rule & opposites

Training people to think in opposites facilitates the falsification process in Wason’s rule discovery task.

DataCite Commons2023-02-19 更新40