• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

婴儿学习:历史、概念及方法学挑战

Infant learning: Historical, conceptual, and methodological challenges.

作者信息

Aslin Richard N

机构信息

University of Rochester.

出版信息

Infancy. 2014 Jan-Feb;19(1):2-27. doi: 10.1111/infa.12036.

DOI:10.1111/infa.12036
PMID:26568702
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4642283/
Abstract

Acquiring knowledge about the underlying structures of the environment presents a number of challenges for a naive learner. These challenges include the absence of reinforcement to guide learning, the presence of numerous information sources from which only a select few are relevant, and the uncertainty about when an underlying structure may have undergone a change. A crucial implication of these challenges is that the naive learner must make implicit decisions about when to generalize to novel inputs and when to restrict generalization because there are multiple underlying structures. An historical perspective on these challenges is presented and some potential solutions are proposed.

摘要

对于一个毫无经验的学习者来说,了解环境的潜在结构面临着诸多挑战。这些挑战包括缺乏强化学习的引导、存在大量信息源但只有少数相关、以及潜在结构何时可能发生变化的不确定性。这些挑战的一个关键影响是,由于存在多种潜在结构,毫无经验的学习者必须就何时推广到新输入以及何时限制推广做出隐含决策。本文给出了对这些挑战的历史观点,并提出了一些潜在的解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/108a/4642283/001d81baf33d/nihms734537f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/108a/4642283/001d81baf33d/nihms734537f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/108a/4642283/001d81baf33d/nihms734537f1.jpg

相似文献

1
Infant learning: Historical, conceptual, and methodological challenges.婴儿学习:历史、概念及方法学挑战
Infancy. 2014 Jan-Feb;19(1):2-27. doi: 10.1111/infa.12036.
2
Distribution-dependent representations in auditory category learning and generalization.听觉类别学习与泛化中依赖于分布的表征
Front Psychol. 2023 Sep 27;14:1132570. doi: 10.3389/fpsyg.2023.1132570. eCollection 2023.
3
Distributional Language Learning: Mechanisms and Models of ategory Formation.分布语言学习:范畴形成的机制与模型
Lang Learn. 2014 Sep 1;64(Suppl 2):86-105. doi: 10.1111/lang.12074. Epub 2014 Aug 25.
4
Learning How to Generalize.学习如何进行归纳。
Cogn Sci. 2019 Aug;43(8):e12777. doi: 10.1111/cogs.12777.
5
The effectiveness of internet-based e-learning on clinician behavior and patient outcomes: a systematic review protocol.基于互联网的电子学习对临床医生行为和患者结局的有效性:一项系统评价方案。
JBI Database System Rev Implement Rep. 2015 Jan;13(1):52-64. doi: 10.11124/jbisrir-2015-1919.
6
All contexts are not created equal: Social stimuli win the competition for organizing reinforcement learning in 9-month-old infants.并非所有情境都是一样的:社会刺激在9个月大婴儿的强化学习组织竞争中胜出。
Dev Sci. 2021 Sep;24(5):e13088. doi: 10.1111/desc.13088. Epub 2021 Feb 24.
7
Generalizing to generalize: Humans flexibly switch between compositional and conjunctive structures during reinforcement learning.泛化以实现泛化:在强化学习过程中,人类可以灵活地在组合结构和连接结构之间切换。
PLoS Comput Biol. 2020 Apr 13;16(4):e1007720. doi: 10.1371/journal.pcbi.1007720. eCollection 2020 Apr.
8
Similarities and differences in spatial and non-spatial cognitive maps.空间认知图和非空间认知图的异同。
PLoS Comput Biol. 2020 Sep 9;16(9):e1008149. doi: 10.1371/journal.pcbi.1008149. eCollection 2020 Sep.
9
Neural signature of hierarchically structured expectations predicts clustering and transfer of rule sets in reinforcement learning.层次结构期望的神经特征预测强化学习中规则集的聚类和迁移。
Cognition. 2016 Jul;152:160-169. doi: 10.1016/j.cognition.2016.04.002. Epub 2016 Apr 12.
10
Learning stage-dependent effect of M1 disruption on value-based motor decisions.学习阶段依赖性 M1 破坏对基于价值的运动决策的影响。
Neuroimage. 2017 Nov 15;162:173-185. doi: 10.1016/j.neuroimage.2017.08.075. Epub 2017 Sep 5.

引用本文的文献

1
Artificial intelligence detects awareness of functional relation with the environment in 3 month old babies.人工智能能在 3 个月大的婴儿身上检测到对环境的功能关系的意识。
Sci Rep. 2024 Jul 6;14(1):15580. doi: 10.1038/s41598-024-66312-6.
2
Predictive brain signals mediate association between shared reading and expressive vocabulary in infants.预测性脑信号介导共享阅读与婴儿表达性词汇之间的关联。
PLoS One. 2022 Aug 3;17(8):e0272438. doi: 10.1371/journal.pone.0272438. eCollection 2022.
3
Top-down sensory prediction in the infant brain at 6 months is correlated with language development at 12 and 18 months.

本文引用的文献

1
Distributional learning of subcategories in an artificial grammar: Category generalization and subcategory restrictions.人工语法中子类别的分布学习:类别泛化与子类别限制
J Mem Lang. 2017 Dec;97:17-29. doi: 10.1016/j.jml.2017.07.006. Epub 2017 Jul 20.
2
Conditioned reflexes: An investigation of the physiological activity of the cerebral cortex.条件反射:大脑皮层生理活动的研究
Ann Neurosci. 2010 Jul;17(3):136-41. doi: 10.5214/ans.0972-7531.1017309.
3
The Goldilocks effect in infant auditory attention.婴儿听觉注意力中的金发姑娘效应。
6 个月大婴儿大脑中的自上而下的感觉预测与 12 个月和 18 个月时的语言发展相关。
Brain Lang. 2022 Jul;230:105129. doi: 10.1016/j.bandl.2022.105129. Epub 2022 May 13.
4
Toddlers' Ability to Leverage Statistical Information to Support Word Learning.幼儿利用统计信息支持词汇学习的能力。
Front Psychol. 2021 Apr 9;12:600694. doi: 10.3389/fpsyg.2021.600694. eCollection 2021.
5
Non-Linguistic Grammar Learning by 12-Month-Old Infants: Evidence for Constraints on Learning.12个月大婴儿的非语言语法学习:学习限制的证据
J Cogn Dev. 2019;20(3):433-441. doi: 10.1080/15248372.2019.1604525. Epub 2019 Apr 29.
6
Predictable Events Enhance Word Learning in Toddlers.可预测事件增强幼儿的词汇学习。
Curr Biol. 2018 Sep 10;28(17):2787-2793.e4. doi: 10.1016/j.cub.2018.06.017. Epub 2018 Aug 16.
7
Infants are superior in implicit crossmodal learning and use other learning mechanisms than adults.婴儿在内隐跨模态学习方面优于成人,并使用其他学习机制。
Elife. 2017 Sep 26;6:e28166. doi: 10.7554/eLife.28166.
8
Disrupted development and imbalanced function in the global neuronal workspace: a positive-feedback mechanism for the emergence of ASD in early infancy.全球神经元工作空间中的发育中断和功能失衡:婴儿早期自闭症谱系障碍出现的正反馈机制。
Cogn Neurodyn. 2017 Feb;11(1):1-21. doi: 10.1007/s11571-016-9419-8. Epub 2016 Nov 15.
9
Incremental implicit learning of bundles of statistical patterns.统计模式束的增量隐式学习
Cognition. 2016 Dec;157:156-173. doi: 10.1016/j.cognition.2016.09.002. Epub 2016 Sep 15.
10
Implicit learning and emotional responses in nine-month-old infants.九个月大婴儿的内隐学习与情绪反应
Cogn Emot. 2017 Aug;31(5):1031-1040. doi: 10.1080/02699931.2016.1179624. Epub 2016 May 4.
Child Dev. 2014 Sep-Oct;85(5):1795-804. doi: 10.1111/cdev.12263. Epub 2014 Jul 3.
4
Rich analysis and rational models: inferring individual behavior from infant looking data.丰富的分析与合理的模型:从婴儿注视数据推断个体行为
Dev Sci. 2014 May;17(3):321-37. doi: 10.1111/desc.12083. Epub 2014 Feb 7.
5
SPEECH SEGMENTATION IN A SIMULATED BILINGUAL ENVIRONMENT: A CHALLENGE FOR STATISTICAL LEARNING?模拟双语环境中的语音分割:统计学习面临的挑战?
Lang Learn Dev. 2009;5(1):30-49. doi: 10.1080/15475440802340101.
6
Learning to look: probabilistic variation and noise guide infants' eye movements.学习观察:概率变化和噪声引导婴儿的眼球运动。
Dev Sci. 2013 Sep;16(5):760-71. doi: 10.1111/desc.12064. Epub 2013 May 28.
7
Statistical learning: From acquiring specific items to forming general rules.统计学习:从获取特定项目到形成一般规则。
Curr Dir Psychol Sci. 2012 Jun 1;21(3):170-176. doi: 10.1177/0963721412436806.
8
From shared contexts to syntactic categories: the role of distributional information in learning linguistic form-classes.从共享语境到句法范畴:分布信息在学习语言形式类别中的作用。
Cogn Psychol. 2013 Feb;66(1):30-54. doi: 10.1016/j.cogpsych.2012.09.001. Epub 2012 Oct 23.
9
Learning to represent a multi-context environment: more than detecting changes.学习表征多上下文环境:不仅仅是检测变化。
Front Psychol. 2012 Jul 20;3:228. doi: 10.3389/fpsyg.2012.00228. eCollection 2012.
10
The Goldilocks effect: human infants allocate attention to visual sequences that are neither too simple nor too complex.金发姑娘效应:人类婴儿会将注意力分配到既不太简单也不太复杂的视觉序列上。
PLoS One. 2012;7(5):e36399. doi: 10.1371/journal.pone.0036399. Epub 2012 May 23.