The Modern Symbolic Artificial Intelligence and Its Use in Medical Tourism

N. Sakipov, O. Vikhnin
{"title":"The Modern Symbolic Artificial Intelligence and Its Use in Medical Tourism","authors":"N. Sakipov, O. Vikhnin","doi":"10.1109/AICT52784.2021.9620321","DOIUrl":null,"url":null,"abstract":"The “top-down” ideology of creating digital products imitating some properties of human intelligence, such as texts understanding, their translation into other languages, expert opinions, etc. is described.It has been shown that the use by authors concepts from different spheres of life leads to quite reasonable and practical solutions like Symbolic Artificial Intelligence (SAI).SAI is associated with language (communicative and semantic) human activity and is designed to work with symbolic information, e.g. in the form of texts and voice audio messages. According to [1], the text can be represented as a set of minimal, further indivisible structural units of the text, that carry elementary meanings. Thus, by breaking the text into such units, which are also “units of meaning” and defining their meanings, the SAI “understands” the content of the input text, that means the program is able to analyze the content of the message, determine the participants and their roles in the analyzed situation, and respond to questions such as who is the main character, his actions, time and place of action, etc. Thus, the program - a digital simulator of human intelligence “understands” the meaning and is able, for example, to annotate the text “in its own words” without using the vocabulary of the text.The SAI developed by the authors belongs to the category of “small data” and implements the aforementioned capabilities of human intelligence.The corresponding SAI algorithms for high quality machine translation for using in medical tourism are described.","PeriodicalId":150606,"journal":{"name":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICT52784.2021.9620321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The “top-down” ideology of creating digital products imitating some properties of human intelligence, such as texts understanding, their translation into other languages, expert opinions, etc. is described.It has been shown that the use by authors concepts from different spheres of life leads to quite reasonable and practical solutions like Symbolic Artificial Intelligence (SAI).SAI is associated with language (communicative and semantic) human activity and is designed to work with symbolic information, e.g. in the form of texts and voice audio messages. According to [1], the text can be represented as a set of minimal, further indivisible structural units of the text, that carry elementary meanings. Thus, by breaking the text into such units, which are also “units of meaning” and defining their meanings, the SAI “understands” the content of the input text, that means the program is able to analyze the content of the message, determine the participants and their roles in the analyzed situation, and respond to questions such as who is the main character, his actions, time and place of action, etc. Thus, the program - a digital simulator of human intelligence “understands” the meaning and is able, for example, to annotate the text “in its own words” without using the vocabulary of the text.The SAI developed by the authors belongs to the category of “small data” and implements the aforementioned capabilities of human intelligence.The corresponding SAI algorithms for high quality machine translation for using in medical tourism are described.
现代符号人工智能及其在医疗旅游中的应用
描述了“自上而下”的理念,即创造模仿人类智能某些属性的数字产品,如文本理解、翻译成其他语言、专家意见等。研究表明,作者使用来自不同生活领域的概念,得出了相当合理和实用的解决方案,如符号人工智能(SAI)。SAI与语言(交际性和语义性)人类活动有关,并设计用于处理符号信息,例如文本和语音音频信息。根据[1],文本可以被表示为一组最小的、进一步不可分割的文本结构单元,它们承载着基本的意义。因此,通过将文本分解成这样的单位,这些单位也是“意义单位”,并定义它们的意义,SAI“理解”输入文本的内容,这意味着程序能够分析消息的内容,确定参与者及其在分析情境中的角色,并回答诸如谁是主角,他的行动,行动的时间和地点等问题。因此,这个程序——一个人类智能的数字模拟器——“理解”意思,并且能够,例如,在不使用文本词汇的情况下,“用自己的话”注释文本。作者开发的SAI属于“小数据”范畴,实现了上述人类智能的能力。描述了用于医疗旅游的高质量机器翻译的相应SAI算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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