度量衡：认知现实主义的操作化

IF 4.2 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Minds and Machines Pub Date : 2024-07-05 DOI:10.1007/s11023-024-09690-0

Majid D. Beni

{"title":"度量衡：认知现实主义的操作化","authors":"Majid D. Beni","doi":"10.1007/s11023-024-09690-0","DOIUrl":null,"url":null,"abstract":"<p>This paper develops a measure of realism from within the framework of cognitive structural realism (CSR). It argues that in the context of CSR, realism can be operationalised in terms of balance between accuracy and generality. More specifically, the paper draws on the free energy principle to characterise the measure of realism in terms of the balance between accuracy and generality.</p>","PeriodicalId":51133,"journal":{"name":"Minds and Machines","volume":null,"pages":null},"PeriodicalIF":4.2000,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Measure for Measure: Operationalising Cognitive Realism\",\"authors\":\"Majid D. Beni\",\"doi\":\"10.1007/s11023-024-09690-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper develops a measure of realism from within the framework of cognitive structural realism (CSR). It argues that in the context of CSR, realism can be operationalised in terms of balance between accuracy and generality. More specifically, the paper draws on the free energy principle to characterise the measure of realism in terms of the balance between accuracy and generality.</p>\",\"PeriodicalId\":51133,\"journal\":{\"name\":\"Minds and Machines\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2024-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Minds and Machines\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s11023-024-09690-0\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Minds and Machines","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s11023-024-09690-0","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}

引用次数: 0

摘要

本文从认知结构现实主义（CSR）的框架出发，提出了现实主义的衡量标准。本文认为，在 CSR 的背景下，现实主义可以在准确性和概括性之间的平衡方面进行操作。更具体地说，本文借鉴自由能原理，从准确性和概括性之间的平衡角度来描述现实主义的衡量标准。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Measure for Measure: Operationalising Cognitive Realism

This paper develops a measure of realism from within the framework of cognitive structural realism (CSR). It argues that in the context of CSR, realism can be operationalised in terms of balance between accuracy and generality. More specifically, the paper draws on the free energy principle to characterise the measure of realism in terms of the balance between accuracy and generality.

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

Minds and Machines 工程技术-计算机：人工智能

CiteScore

12.60

自引率

2.70%

发文量

审稿时长

>12 weeks

期刊介绍： Minds and Machines, affiliated with the Society for Machines and Mentality, serves as a platform for fostering critical dialogue between the AI and philosophical communities. With a focus on problems of shared interest, the journal actively encourages discussions on the philosophical aspects of computer science. Offering a global forum, Minds and Machines provides a space to debate and explore important and contentious issues within its editorial focus. The journal presents special editions dedicated to specific topics, invites critical responses to previously published works, and features review essays addressing current problem scenarios. By facilitating a diverse range of perspectives, Minds and Machines encourages a reevaluation of the status quo and the development of new insights. Through this collaborative approach, the journal aims to bridge the gap between AI and philosophy, fostering a tradition of critique and ensuring these fields remain connected and relevant.