Suppr超能文献

推断未观察到的过去和未来事件的时间不对称性。

Temporal asymmetries in inferring unobserved past and future events.

机构信息

Dartmouth College, Hanover, NH, USA.

Peking University, Beijing, China.

出版信息

Nat Commun. 2024 Oct 1;15(1):8502. doi: 10.1038/s41467-024-52627-5.

Abstract

Unlike temporally symmetric inferences about simple sequences, inferences about our own lives are asymmetric: we are better able to infer the past than the future, since we remember our past but not our future. Here we explore whether there are asymmetries in inferences about the unobserved pasts and futures of other people's lives. In two experiments (analyses of the replication experiment were pre-registered), our participants view segments of two character-driven television dramas and write out what they think happens just before or after each just-watched segment. Participants are better at inferring unseen past (versus future) events. This asymmetry is driven by participants' reliance on characters' conversational references in the narrative, which tend to favor the past. This tendency is also replicated in a large-scale analysis of conversational references in natural conversations. Our work reveals a temporal asymmetry in how observations of other people's behaviors can inform inferences about the past and future.

摘要

与关于简单序列的时间对称推断不同,关于我们自己生活的推断是不对称的:我们能够更好地推断过去而不是未来,因为我们记得过去而不是未来。在这里,我们探讨了对他人生活的未观察到的过去和未来的推断是否存在不对称性。在两项实验中(对复制实验的分析进行了预先注册),我们的参与者观看了两部以角色为驱动的电视剧的片段,并写出他们认为在每个刚刚观看过的片段之前或之后发生了什么。参与者更善于推断未看到的过去(而不是未来)事件。这种不对称性是由参与者在叙事中对角色对话引用的依赖所驱动的,这种依赖往往偏向于过去。这种趋势在对自然对话中对话引用的大规模分析中也得到了复制。我们的工作揭示了观察他人行为如何影响过去和未来推断的时间不对称性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/121f/11445511/0d73fca5b8fd/41467_2024_52627_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验