ARTIFICIALLY INTELLIGENT CONVERSATIONAL CHATBOTS: MAIN TYPES, PROGRAMMING ISSUES, AND POSSIBLE SOLUTIONS

dc.contributor.authorMomonov G.
dc.date.accessioned2024-04-17T11:05:13Z
dc.date.available2024-04-17T11:05:13Z
dc.date.issued2021
dc.description.abstractAbstract In recent years, artificially intelligent (AI) conversational chatbots have become widely used and proved to be a practical and effective support tool in many areas. Advances in machine learning and neural networks have made such proliferation of AI chatbots possible, yet there are still many programming issues and challenges in developing chatbots for various specific domains of human activity. This paper reviews types of artificially intelligent conversational chatbots and programming issues associated with each type. The following main types of chatbots are discussed: 1) script-based chatbots, 2) database-based chatbots, and 3) natural language processing-based chatbots. Key programming challenges in creating chatbots and existing solutions are reviewed.
dc.identifier.citationMomonov G / ARTIFICIALLY INTELLIGENT CONVERSATIONAL CHATBOTS: MAIN TYPES, PROGRAMMING ISSUES, AND POSSIBLE SOLUTIONS / 2021 International Young Scholars' Conference
dc.identifier.issn978-601-7537-98-2
dc.identifier.urihttps://repository.sdu.edu.kz/handle/123456789/1273
dc.language.isoen
dc.publisher2021 International Young Scholars' Conference
dc.subjectchatbot
dc.subjectconversational AI
dc.subjectnatural language processing
dc.subject2021 International Young Scholars' Conference
dc.subject№10
dc.titleARTIFICIALLY INTELLIGENT CONVERSATIONAL CHATBOTS: MAIN TYPES, PROGRAMMING ISSUES, AND POSSIBLE SOLUTIONS
dc.typeArticle

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