ГЕНЕРАТИВНИ МОДЕЛИ И ИНТЕЛИГЕНТНИ СИСТЕМИ В ЛИТЕРАТУРНИЯ ОБЗОР: ПРЕДИЗВИКАТЕЛСТВА И ВЪЗМОЖНОСТИ

dc.contributor.authorНиколова, Евгения
dc.contributor.authorДжуфов, Георги
dc.contributor.authorСлавов, Тодор
dc.date.accessioned2026-05-14T12:55:29Z
dc.date.issued2025
dc.description.abstractThis article reviews methodological approaches for systematic analysis of scientific literature and evaluates contemporary AI platforms for their use in systematic reviews. It summarizes AI tools’ functions, advantages, and limitations, and provides practical guidance for academic application. The focus is on AI support for searching, evaluating, and organizing publications, while complementing rather than replacing human critical judgment.
dc.identifier.issn1311-221X
dc.identifier.urihttp://research.bfu.bg:4000/handle/123456789/2809
dc.language.isobg
dc.publisherБургаски Свободен Университет
dc.relation.ispartofseries2025, Том LII; с. 228-251
dc.subjectGenerative Models
dc.subjectArtificial Intelligence (AI)
dc.subjectAI-assisted Review
dc.subjectAutomated Literature Review
dc.titleГЕНЕРАТИВНИ МОДЕЛИ И ИНТЕЛИГЕНТНИ СИСТЕМИ В ЛИТЕРАТУРНИЯ ОБЗОР: ПРЕДИЗВИКАТЕЛСТВА И ВЪЗМОЖНОСТИ
dc.title.alternativeGENERATIVE MODELS AND INTELLIGENT SYSTEMS IN THE LITERATURE REVIEW: CHALLENGES AND OPPORTUNITIES
dc.typeArticle

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