概念表征与思维的几何模型

Q3 Arts and Humanities
Wlodzislaw Duch
{"title":"概念表征与思维的几何模型","authors":"Wlodzislaw Duch","doi":"10.2478/slgr-2022-0009","DOIUrl":null,"url":null,"abstract":"Abstract Current cognitive architectures are either working at the abstract, symbolic level, or the low, emergent level related to neural modeling. The best way to understand phenomena is to see, or imagine them, hence the need for a geometric model of mental processes. Geometric models should be based on an intermediate level of modeling that describe mental states in terms of features relevant from the first-person perspective but also linked to neural events. Concepts should be represented as geometrical objects that have sufficiently rich structures to show their properties and their relations to other concepts. The best way to create such geometrical representations of concepts is through the approximate description of the physical states of neural networks. The evolution of brain states is then represented as a trajectory linking successful concepts, and topological constraints on the shape of such trajectory define grammar and logic.","PeriodicalId":38574,"journal":{"name":"Studies in Logic, Grammar and Rhetoric","volume":"67 1","pages":"151 - 167"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Concept Representation and the Geometric Model of Mind\",\"authors\":\"Wlodzislaw Duch\",\"doi\":\"10.2478/slgr-2022-0009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Current cognitive architectures are either working at the abstract, symbolic level, or the low, emergent level related to neural modeling. The best way to understand phenomena is to see, or imagine them, hence the need for a geometric model of mental processes. Geometric models should be based on an intermediate level of modeling that describe mental states in terms of features relevant from the first-person perspective but also linked to neural events. Concepts should be represented as geometrical objects that have sufficiently rich structures to show their properties and their relations to other concepts. The best way to create such geometrical representations of concepts is through the approximate description of the physical states of neural networks. The evolution of brain states is then represented as a trajectory linking successful concepts, and topological constraints on the shape of such trajectory define grammar and logic.\",\"PeriodicalId\":38574,\"journal\":{\"name\":\"Studies in Logic, Grammar and Rhetoric\",\"volume\":\"67 1\",\"pages\":\"151 - 167\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Studies in Logic, Grammar and Rhetoric\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/slgr-2022-0009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Arts and Humanities\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in Logic, Grammar and Rhetoric","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/slgr-2022-0009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Arts and Humanities","Score":null,"Total":0}
引用次数: 1

摘要

摘要当前的认知架构要么在抽象、符号层面工作,要么在与神经建模相关的低层次、紧急层面工作。理解现象的最好方法是看到或想象它们,因此需要一个心理过程的几何模型。几何模型应该基于中间级别的建模,该建模根据第一人称视角的相关特征来描述心理状态,但也与神经事件有关。概念应表示为具有足够丰富结构的几何对象,以显示其特性及其与其他概念的关系。创建此类概念几何表示的最佳方法是通过对神经网络物理状态的近似描述。然后,大脑状态的进化被表示为连接成功概念的轨迹,而对这种轨迹形状的拓扑约束定义了语法和逻辑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Concept Representation and the Geometric Model of Mind
Abstract Current cognitive architectures are either working at the abstract, symbolic level, or the low, emergent level related to neural modeling. The best way to understand phenomena is to see, or imagine them, hence the need for a geometric model of mental processes. Geometric models should be based on an intermediate level of modeling that describe mental states in terms of features relevant from the first-person perspective but also linked to neural events. Concepts should be represented as geometrical objects that have sufficiently rich structures to show their properties and their relations to other concepts. The best way to create such geometrical representations of concepts is through the approximate description of the physical states of neural networks. The evolution of brain states is then represented as a trajectory linking successful concepts, and topological constraints on the shape of such trajectory define grammar and logic.
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
Studies in Logic, Grammar and Rhetoric
Studies in Logic, Grammar and Rhetoric Arts and Humanities-Philosophy
CiteScore
0.40
自引率
0.00%
发文量
3
审稿时长
6 weeks
×
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:604180095
Book学术官方微信