从专家意见出发,以经验为依据的规范贝叶斯方案为基础的论证

IF 2.5 3区 心理学 Q2 PSYCHOLOGY, EXPERIMENTAL Thinking & Reasoning Pub Date : 2022-10-19 DOI:10.1080/13546783.2022.2134926
Kong-ngai. Pei, Chin-shing Arthur. Chin
{"title":"从专家意见出发,以经验为依据的规范贝叶斯方案为基础的论证","authors":"Kong-ngai. Pei, Chin-shing Arthur. Chin","doi":"10.1080/13546783.2022.2134926","DOIUrl":null,"url":null,"abstract":"Abstract This article seeks, first, to show that much of the existing normative work on argument from expert opinion (AEO) is problematic for failing to be properly informed by empirical findings on expert performance. Second, it seeks to show how, with the analytic tool of Bayesian reasoning, the problem diagnosed can be remedied to circumvent some of the problems facing the scheme-based treatment of AEOs. To establish the first contention, we will illustrate how empirical studies on factors conditioning expert reliability can be drawn upon to re-construct. Walton’s critical questions matching the scheme of AEOs. To establish the second contention, we will illustrate how Walton’s re-constructed set of critical questions can be formalized within a Bayesian network. Finally, we will highlight how the specific ways in which the Bayesian framework we propose is both continuous with and distinct from the models of source reliability put forward by theorists like Bovens and Hartmann (2003).","PeriodicalId":47270,"journal":{"name":"Thinking & Reasoning","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards an empirically informed normative Bayesian scheme-based account of argument from expert opinion\",\"authors\":\"Kong-ngai. Pei, Chin-shing Arthur. Chin\",\"doi\":\"10.1080/13546783.2022.2134926\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This article seeks, first, to show that much of the existing normative work on argument from expert opinion (AEO) is problematic for failing to be properly informed by empirical findings on expert performance. Second, it seeks to show how, with the analytic tool of Bayesian reasoning, the problem diagnosed can be remedied to circumvent some of the problems facing the scheme-based treatment of AEOs. To establish the first contention, we will illustrate how empirical studies on factors conditioning expert reliability can be drawn upon to re-construct. Walton’s critical questions matching the scheme of AEOs. To establish the second contention, we will illustrate how Walton’s re-constructed set of critical questions can be formalized within a Bayesian network. Finally, we will highlight how the specific ways in which the Bayesian framework we propose is both continuous with and distinct from the models of source reliability put forward by theorists like Bovens and Hartmann (2003).\",\"PeriodicalId\":47270,\"journal\":{\"name\":\"Thinking & Reasoning\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2022-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Thinking & Reasoning\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1080/13546783.2022.2134926\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PSYCHOLOGY, EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thinking & Reasoning","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1080/13546783.2022.2134926","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

本文首先试图表明,许多现有的关于专家意见论证(AEO)的规范性工作都存在问题,因为它们没有得到有关专家绩效的实证研究结果的适当通知。其次,它试图展示如何使用贝叶斯推理的分析工具来纠正诊断出的问题,以规避基于方案的aeo治疗所面临的一些问题。为了建立第一个论点,我们将说明如何利用影响专家可靠性的因素的实证研究来重建。沃尔顿的关键问题与aeo的方案相匹配。为了建立第二个论点,我们将说明沃尔顿重新构建的一组关键问题如何在贝叶斯网络中形式化。最后,我们将强调我们提出的贝叶斯框架的具体方式如何与Bovens和Hartmann(2003)等理论家提出的源可靠性模型既连续又不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Towards an empirically informed normative Bayesian scheme-based account of argument from expert opinion
Abstract This article seeks, first, to show that much of the existing normative work on argument from expert opinion (AEO) is problematic for failing to be properly informed by empirical findings on expert performance. Second, it seeks to show how, with the analytic tool of Bayesian reasoning, the problem diagnosed can be remedied to circumvent some of the problems facing the scheme-based treatment of AEOs. To establish the first contention, we will illustrate how empirical studies on factors conditioning expert reliability can be drawn upon to re-construct. Walton’s critical questions matching the scheme of AEOs. To establish the second contention, we will illustrate how Walton’s re-constructed set of critical questions can be formalized within a Bayesian network. Finally, we will highlight how the specific ways in which the Bayesian framework we propose is both continuous with and distinct from the models of source reliability put forward by theorists like Bovens and Hartmann (2003).
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Thinking & Reasoning
Thinking & Reasoning PSYCHOLOGY, EXPERIMENTAL-
CiteScore
6.50
自引率
11.50%
发文量
25
期刊最新文献
The skeptical import of motivated reasoning: a closer look at the evidence When word frequency meets word order: factors determining multiply-constrained creative association Mindset effects on the regulation of thinking time in problem-solving Elementary probabilistic operations: a framework for probabilistic reasoning Testing the underlying structure of unfounded beliefs about COVID-19 around the world
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1