Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14365/3
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Browsing Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection by Institution Author "Başarır, Lale"
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Article Citation - WoS: 2Citation - Scopus: 1Local Intelligence: Time To Learn From Ai(Taylor and Francis Ltd., 2025) Başarır, Lale; Çiçek, S.; Koç, M.AI research in architecture is flourishing, and there are plausible and praiseworthy experiments using generative models. These experiments could result in intelligence that uses architectural knowledge and opens new learning opportunities, although guidance is still required in this area. With the Local Intelligence (LI) framework, we hypothesize a web of distributed networks to connect different forms of knowledge linked with architectural context. We assume that the tacit knowledge of vernacular architecture corresponds to the implicit knowledge of folklore music when the anonymous designer and the user are the same- the local people. With a multimodal AI model, we call ‘music2architecture’ – ‘architecture2music’, we argue that sharing the same locality/localness may lead to the emergence of a typical, previously hidden pattern (of wisdom) that we can learn from. © 2024 Informa UK Limited, trading as Taylor & Francis Group.Article Citation - WoS: 18Citation - Scopus: 34Modelling AI in Architectural Education(Gazi Univ, 2022) Başarır, LaleThis work displays an outlook on major questions concerning the integration of Artificial Intelligence (AI) in Architectural education. Gradually, part of the domain knowledge and hard skills become either irrelevant or insufficient by the time the students graduate. This paper suggests that integrating AI in the architectural design curriculum is beneficial for raising designers’ awareness of all areas of architectural design, in the form of input, process, and output. The study views consecutive learning experiences in a continuum and explores the potentials of integrating AI applications and techniques in architectural education, and how architectural design practice may benefit from it. Consequently, it provides insights into how architectural design education may transform itself considering the future impact of AI on the Architecture Engineering Construction (AEC) industry.
