A notion of prominence for games with natural‐language labels
自然语言标签博弈中的显著性概念AI 解读 ↓
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自然语言标签博弈中的显著性概念
- 研究问题
- 当策略用自然语言词汇标记时，日常语言中的词频能否衡量策略显著性，并解释不同协调激励下的策略选择？
- 方法与思路
- 作者以大型语料中的词频操作化标签显著性，在不同匹配激励、语言文化背景及对他人居住国信息的实验中检验。
- 材料陈述的贡献
- 摘要称高频标签在鼓励匹配时更常被选、鼓励不匹配时更少被选，且关于他人居住国的信息影响词频使用。
- 阅读关注点
- 应核对语料词频与受试者日常语言的对应、实验激励与信息处理设计，以及显著性解释和其他标签特征的区分。
- 阅读边界
- 所给 Crossref 摘要未说明样本、效应大小及外部效度，不能将语料词频视为普适显著性指标，也不推断刊本变化。
原文摘要
We study games with natural‐language labels (i.e., strategic problems where options are denoted by words), for which we propose and test a measurable characterization of prominence. We assume that—ceteris paribus—players find particularly prominent those strategies that are denoted by words more frequently used in their everyday language. To operationalize this assumption, we suggest that the prominence of a strategy‐label is correlated with its frequency of occurrence in large text corpora, such as the Google Books corpus (“n‐gram” frequency). In testing for the strategic use of word frequency, we consider experimental games with different incentive structures (such as incentives to and not to coordinate), as well as subjects from different cultural/linguistic backgrounds. Our data show that frequently‐mentioned labels are more (less) likely to be selected when there are incentives to match (mismatch) others. Furthermore, varying one's knowledge of the others' country of residence significantly affects one's reliance on word frequency. Overall, the data show that individuals play strategies that fulfill our characterization of prominence in a (boundedly) rational manner.