扩展模型语言,处理人工智能中的纠缠概念

IF 0.9 4区 哲学 Q2 HISTORY & PHILOSOPHY OF SCIENCE
Roberto Leporini
{"title":"扩展模型语言,处理人工智能中的纠缠概念","authors":"Roberto Leporini","doi":"10.1007/s10699-024-09956-x","DOIUrl":null,"url":null,"abstract":"<p>In quantum information and computation, entanglement is a resource. When combining concepts, the application of entanglement outside of micro-physical systems is an useful tool. We suggest new cognitive image-based tests that do not need to be translated. No prior knowledge of terms related to the concepts is required, therefore the choice is more intuitive. We examine the merging of two concepts that establish non-classical statistical correlation and present an entanglement-aware vector encoding algorithm. This research’s added value results in an automated system that teaches artificial intelligence to identify and handle entangled concepts.\n</p>","PeriodicalId":55146,"journal":{"name":"Foundations of Science","volume":"56 1","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extending a Model Language to Handle Entangled Concepts in Artificial Intelligence\",\"authors\":\"Roberto Leporini\",\"doi\":\"10.1007/s10699-024-09956-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In quantum information and computation, entanglement is a resource. When combining concepts, the application of entanglement outside of micro-physical systems is an useful tool. We suggest new cognitive image-based tests that do not need to be translated. No prior knowledge of terms related to the concepts is required, therefore the choice is more intuitive. We examine the merging of two concepts that establish non-classical statistical correlation and present an entanglement-aware vector encoding algorithm. This research’s added value results in an automated system that teaches artificial intelligence to identify and handle entangled concepts.\\n</p>\",\"PeriodicalId\":55146,\"journal\":{\"name\":\"Foundations of Science\",\"volume\":\"56 1\",\"pages\":\"\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2024-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Foundations of Science\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1007/s10699-024-09956-x\",\"RegionNum\":4,\"RegionCategory\":\"哲学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HISTORY & PHILOSOPHY OF SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Foundations of Science","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1007/s10699-024-09956-x","RegionNum":4,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HISTORY & PHILOSOPHY OF SCIENCE","Score":null,"Total":0}
引用次数: 0

摘要

在量子信息和计算中,纠缠是一种资源。在结合概念时,在微观物理系统之外应用纠缠是一种有用的工具。我们提出了无需翻译的基于认知图像的新测试。无需事先了解与概念相关的术语,因此选择更加直观。我们研究了建立非经典统计相关性的两个概念的合并,并提出了一种纠缠感知向量编码算法。这项研究的附加值体现在一个自动系统上,它可以教人工智能识别和处理纠缠概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Extending a Model Language to Handle Entangled Concepts in Artificial Intelligence

Extending a Model Language to Handle Entangled Concepts in Artificial Intelligence

In quantum information and computation, entanglement is a resource. When combining concepts, the application of entanglement outside of micro-physical systems is an useful tool. We suggest new cognitive image-based tests that do not need to be translated. No prior knowledge of terms related to the concepts is required, therefore the choice is more intuitive. We examine the merging of two concepts that establish non-classical statistical correlation and present an entanglement-aware vector encoding algorithm. This research’s added value results in an automated system that teaches artificial intelligence to identify and handle entangled concepts.

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
Foundations of Science
Foundations of Science HISTORY & PHILOSOPHY OF SCIENCE-
CiteScore
2.60
自引率
11.10%
发文量
51
期刊介绍: Foundations of Science focuses on methodological and philosophical topics of foundational significance concerning the structure and the growth of science. It serves as a forum for exchange of views and ideas among working scientists and theorists of science and it seeks to promote interdisciplinary cooperation. Since the various scientific disciplines have become so specialized and inaccessible to workers in different areas of science, one of the goals of the journal is to present the foundational issues of science in a way that is free from unnecessary technicalities yet faithful to the scientific content. The aim of the journal is not simply to identify and highlight foundational issues and problems, but to suggest constructive solutions to the problems. The editors of the journal admit that various sciences have approaches and methods that are peculiar to those individual sciences. However, they hold the view that important truths can be discovered about and by the sciences and that truths transcend cultural and political contexts. Although properly conducted historical and sociological inquiries can explain some aspects of the scientific enterprise, the editors believe that the central foundational questions of contemporary science can be posed and answered without recourse to sociological or historical methods.
×
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