{"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.