新机制方法与认知本体论--或者说:(神经)机制在认知本体论中扮演什么角色?

IF 4.2 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Beate Krickel
{"title":"新机制方法与认知本体论--或者说:(神经)机制在认知本体论中扮演什么角色?","authors":"Beate Krickel","doi":"10.1007/s11023-024-09679-9","DOIUrl":null,"url":null,"abstract":"<p>Cognitive ontology has become a popular topic in philosophy, cognitive psychology, and cognitive neuroscience. At its center is the question of which cognitive capacities should be included in the ontology of cognitive psychology and cognitive neuroscience. One common strategy for answering this question is to look at brain structures and determine the cognitive capacities for which they are responsible. Some authors interpret this strategy as a search for <i>neural mechanisms</i>, as understood by the so-called <i>new mechanistic approach</i>. In this article, I will show that this <i>new mechanistic answer</i> is confronted with what I call the <i>triviality problem</i>. A discussion of this problem will show that one cannot derive a meaningful cognitive ontology from neural mechanisms alone. Nonetheless, neural mechanisms play a crucial role in the discovery of a cognitive ontology because they are <i>epistemic proxies for best systematizations</i>.</p>","PeriodicalId":51133,"journal":{"name":"Minds and Machines","volume":"35 1","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2024-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The New Mechanistic Approach and Cognitive Ontology—Or: What Role do (Neural) Mechanisms Play in Cognitive Ontology?\",\"authors\":\"Beate Krickel\",\"doi\":\"10.1007/s11023-024-09679-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Cognitive ontology has become a popular topic in philosophy, cognitive psychology, and cognitive neuroscience. At its center is the question of which cognitive capacities should be included in the ontology of cognitive psychology and cognitive neuroscience. One common strategy for answering this question is to look at brain structures and determine the cognitive capacities for which they are responsible. Some authors interpret this strategy as a search for <i>neural mechanisms</i>, as understood by the so-called <i>new mechanistic approach</i>. In this article, I will show that this <i>new mechanistic answer</i> is confronted with what I call the <i>triviality problem</i>. A discussion of this problem will show that one cannot derive a meaningful cognitive ontology from neural mechanisms alone. Nonetheless, neural mechanisms play a crucial role in the discovery of a cognitive ontology because they are <i>epistemic proxies for best systematizations</i>.</p>\",\"PeriodicalId\":51133,\"journal\":{\"name\":\"Minds and Machines\",\"volume\":\"35 1\",\"pages\":\"\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2024-06-02\",\"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/s11023-024-09679-9\",\"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/s11023-024-09679-9","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

认知本体论已成为哲学、认知心理学和认知神经科学领域的热门话题。其核心问题是,认知心理学和认知神经科学的本体论应该包括哪些认知能力。回答这个问题的一个常见策略是观察大脑结构,并确定它们负责的认知能力。一些作者将这一策略解释为寻找神经机制,正如所谓的新机械论方法所理解的那样。在本文中,我将说明这种新的机械论答案面临着我所说的琐碎性问题。对这一问题的讨论将表明,我们无法仅从神经机制中推导出有意义的认知本体论。尽管如此,神经机制在发现认知本体论的过程中发挥着至关重要的作用,因为它们是最佳系统化的认识论代表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The New Mechanistic Approach and Cognitive Ontology—Or: What Role do (Neural) Mechanisms Play in Cognitive Ontology?

The New Mechanistic Approach and Cognitive Ontology—Or: What Role do (Neural) Mechanisms Play in Cognitive Ontology?

Cognitive ontology has become a popular topic in philosophy, cognitive psychology, and cognitive neuroscience. At its center is the question of which cognitive capacities should be included in the ontology of cognitive psychology and cognitive neuroscience. One common strategy for answering this question is to look at brain structures and determine the cognitive capacities for which they are responsible. Some authors interpret this strategy as a search for neural mechanisms, as understood by the so-called new mechanistic approach. In this article, I will show that this new mechanistic answer is confronted with what I call the triviality problem. A discussion of this problem will show that one cannot derive a meaningful cognitive ontology from neural mechanisms alone. Nonetheless, neural mechanisms play a crucial role in the discovery of a cognitive ontology because they are epistemic proxies for best systematizations.

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
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
30
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.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信