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Temel Tasarımda Yeni Aktör: AHS Modeli ile Organik ve Yapay Zekâ Destekli Sentetik Çözüm Kümelerinin Değerlendirilmesi

Year 2024, Issue: 124, 66 - 77, 23.10.2024

Selen Çiçek , Gülen Çağdaş , Gülce Kırdar

Abstract

Çalışma kapsamında bir temel tasarım stüdyosu bağlamında çok modlu bir yapay zekâ modeli ile üretilen sentetik tasarım çözümleri, öğrenciler tarafından üretilen organik tasarım çözümleri ile karşılaştırmalı bir çerçevede ele alınmıştır. Analitik Hiyerarşi Süreci modeli kullanılarak, üretilen sentetik çözümlerin performansları eleman tanımları, biçimsel organizasyon ve temsil tekniği gibi kriterler üzerinden tasarım uzmanları tarafından değerlendirilmiştir. Araştırmanın limitleri kapsamında ele alınan örneklem, yapay zekâ araçlarının uzman geri bildirimleri ile beslendiğinde, muğlak tanımlı tasarım problemlerine çözüm sunmakta etkili olabileceğini göstermiştir. Elde edilen sonuçlar ışığında, yapay zekâ araçlarının öğrencilere genişletilmiş bir tasarım uzayı sunarak bu problemleri aydınlatma potansiyelleri ve limitleri tartışılmış; bu araçların temel tasarım stüdyosuna entegrasyonu için öneriler sunulmuştur.

Keywords

Temel tasarım stüdyosu AHS Yapay Zeka ve Mimarlık Eğitimi Karar Destek Modeli

Thanks

Bu çalışmanın yöntemsel kurgusu, İTÜ Lisansüstü Eğitim Enstitüsü Bilişim Anabilim Dalı, Mimari Tasarımda Bilişim Doktora Programında Prof. Dr. Gülen Çağdaş ve Dr. Öğr. Üyesi Gülce Kırdar Bakraç tarafından yürütülen MBL602 Mimari Tasarımda Karar Destek Sistemleri (2024 Bakar) dersinde, sorumlu yazar tarafından yıl sonu projesi kapsamında geliştirilmiştir. Bu çalışmanın teorik altyapısının oluşturulması, sorumlu yazar Selen Çiçek'in Prof. Dr. Mina Özkar danışmanlığında yaptığı yüksek lisans tezinde geliştirlimiştir; bu kapsamda sağladığı önemli katkı ve desteklerden dolayı Prof. Dr. Mine Özkar'a teşekkür ederiz. Ayrıca, araştırma kapsamında kullanılan arşiv verilerini paylaşarak çalışmaya katkı sunan Orta Doğu Teknik Üniversitesi ARCH 101 yürütücüleri Tuğyan Aytaç Dural, Selahattin Önür, Nihal Bursa, Erkan Gencol, Derin İnan, Mine Özkar, Başak Uçar, Pelin Yoncacı Arslan’a teşekkür ederiz.

References

  • Akin, Ö. (1984). An exploration of the design process. N. Cross (Ed.) Developments in Design Methodology içinde (ss. 189-208). Wiley & Sons.
  • Aytaç-Dural, T. (2002). Theatre Architecture Education: Theatre as a Paradigm For İntroductory Architectural Design Education. METU Faculty of Architecture Press.
  • Brandt, C. B., Cennamo, K., Douglas, S., Vernon, M., McGrath, M., Reimer, Y. (2011). A theoretical framework for the studio as a learning environment. International Journal of Technology and Design Education, 23(2), 329–348. https://doi.org/10.1007/s10798-011-9181-5
  • Chen, Y., Kumar, A., Li, X. (2023). Exploring Possibilities of AI-Enabled Image Synthesis and Design in Education. 2023 IEEE Frontiers in Education Conference (FIE) içinde (ss.1-5). College Station, TX, USA. doi:10.1109/FIE58773.2023.10342958
  • Çiçek, S., Turhan, G. D., Özkar, M. (2023). Reconsidering Design Pedagogy through Diffusion Models. Proceedings of the 41st International Conference on Education and Research in Computer Aided Architectural Design in Europe (ECAADe) [Volume 1] içinde (ss.21-40) doi:10.52842/conf.ecaade.2023.1.031
  • Çiçek, S. ve Özkar, M. (2023). Reframing the Concept of Design Space in the Basic Design Studio. [Konferans sunumu] National Symposium - DSS’23_ Design Studies Symposium 2023: Realities and Frontiers, İzmir Ekonomi Üniveristesi, İzmir.
  • Denel, B. (1981). Temel Tasarım ve Yaratıcılık. ODTÜ Yayınları Ankara.
  • Dhariwal, P., Nichol, A. (2021). Diffusion models beat GANs on image synthesis. Advances in neural information processing systems, 34, 8780-8794. arXiv:2105.05233
  • Dorst, K. (2004). On the problem of design problems - problem solving and design expertise. Journal of Design Research, 4(2), 185-196. https://doi.org/10.1504/jdr.2004.009841
  • Dreyfus, H.L. (1972). What Computers Can’t Do? New York: MIT Press.
  • Dreyfus, H.L. (1992). What Computers Still Can’t Do? New York: MIT Press.
  • Figoli, F. A., Mattioli, F., Rampino, L. (2023). AI in the design process: Training the human-AI collaboration. D. Andrews et al. (Ed.) Proceedings of the 24th International Conference on Engineering and Product Design Education (E&PDE 2022) içinde (ss.360-365). The Design Society Institution of Engineering Designers. https://doi.org/10.35199/EPDE.2022.61
  • Goepel, K.D. (2018). Implementation of an Online Software Tool for the Analytic Hierarchy Process (AHP-OS). International Journal of the Analytic Hierarchy Process, Vol. 10(2), 469-487. https://doi.org/10.13033/ijahp.v10i3.590
  • Goldschmidt, G., Hochman, H., Dafni, I. (2010). The design studio “crit”: Teacher–student communication. AI EDAM/Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 24(3), 285–302. https://doi.org/10.1017/s089006041000020x
  • Güzelci, O. ve Şener, S. (2019). An entropy-based design evaluation model for architectural competitions through multiple factors. Entropy, 21(11), 1064. https://doi.org/10.3390/e21111064
  • Harputlugil, T., Gültekin, A. T., Prins, M., Topçu, Y. İ. (2014). Architectural Design Quality Assessment Based On Analytic Hierarchy Process: A Case Study. METU Journal of the Faculty of Architecture 31(2), 139-161. https://doi.org/10.4305/metu.jfa.2014.2.8
  • Ho, J., Jain, A., Abbeel, P. (2020). Denoising Diffusion Probabilistic Models. Advances in neural information processing systems, 33, 6840-6851. arXiv:2006.11239
  • Kahraman, C. (2018). A Brief Literature Review for Fuzzy AHP. International Journal of the Analytic Hierarchy Process, 10(2). https://doi.org/10.13033/ijahp.v10i2.599
  • Kavakoglu, A. A., Almaç, B., Eser, B., Alaçam, S. (2022). AI Driven Creativity in Early Design Education - A pedagogical approach in the age of Industry 5.0. Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, içinde (ss. 133–142). https://doi.org/10.52842/conf.ecaade.2022.1.133
  • Khean, N., Fabbri, A., Haeusler, M. H. (2018). Learning machine learning as an architect, how to? A. Kepczynska-Walczak, S. Bialkowski (Ed.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, içinde (ss. 95-102). doi:10.52842/conf.ecaade.2018.1.095.
  • Kubler, S., Robert, J., Derigent, W., Voisin, A., Traon, Y. (2016). A state-of the-art survey & testbed of fuzzy AHP (FAHP) applications. Expert Systems With Applications 65, 398-422. https://doi.org/10.1016/j.eswa.2016.08.064
  • Lizondo-Sevilla, L., Bosch-Roig, L., Ferrer-Ribera, C., Alapont-Ramon, J. L. (2019). Teaching Architectural Design Through Creative Practices. ODTÜ Mimarlık Fakültesi Dergisi, 36(1), 41–60. DOI: 10.4305/METU.JFA.2019.1.8
  • Midjourney (2024). Midjourney Documentation.[Text-to-image model]. https://docs.midjourney.com/
  • Palabiyik, S. ve Alkılınç, E.(2021). Developing a web based software for the evaluation of architectural designs. A/Z ITU Journal of Faculty of Architecture 18(2), 365-382. https://doi.org/10.5505/itujfa.2021.26986
  • Palabiyik, S. ve Çolakoğlu, B. (2012). Mimari tasarım sürecinde son ürünün değerlendirilmesi: Bir bulanık karar verme modeli. Megaron, 7(3), 191–206.
  • Radford, A., Narasimhan, K., Salimans, T., Sutskever, I. (2018). Improving Language Understanding by Generative Pre-Training. arXiv:2012.11747v3 [cs.LG]
  • Saaty, T. (2008). Decision making with the aalytic hierarchy process. International Journal of Services Sciences, 1(1), 83. https://doi.org/10.1504/ijssci.2008.017590
  • Saranlı, T. (1998). Başlangıçtan Bugüne Temel Tasarım. N. Teymur ve T. Aytaç Dural (Ed.). Temel Tasarım / Temel Eğitim içinde (37-47). ODTÜ Mimarlık Fakültesi Yayınları.
  • Schön D. A. (1985). The Design Studio, An Exploration of Its Traditions & Potential. London: RIBA publications.
  • Schön, D. A. (1987). Educating the Reflective Practitioner: Toward a New Design For Teaching and Learning in the Professions. Jossey-Bass.
  • Tong, H. T., Ülken, G., Türel, A., Şenkal, H., Ergün, F. Y., Güzelci, O. Z., Alaçam, S. (2023). An Attempt to İntegrate AI-Based Techniques İnto First Year Design Representation Course. Ghent: Academia Press. https://doi.org/10.26530/9789401496476-071
  • Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., Polosukhin, I. (2017). Attention is All You Need. Advances in Neural Information Processing Systems. arXiv:1706.03762
  • Zbinden, R. (2022). Implementing and Experimenting with Diffusion Models for Text- to- Image Generation. arXiv preprint arXiv:2209.10948.

Year 2024, Issue: 124, 66 - 77, 23.10.2024

Selen Çiçek , Gülen Çağdaş , Gülce Kırdar

Abstract

References

  • Akin, Ö. (1984). An exploration of the design process. N. Cross (Ed.) Developments in Design Methodology içinde (ss. 189-208). Wiley & Sons.
  • Aytaç-Dural, T. (2002). Theatre Architecture Education: Theatre as a Paradigm For İntroductory Architectural Design Education. METU Faculty of Architecture Press.
  • Brandt, C. B., Cennamo, K., Douglas, S., Vernon, M., McGrath, M., Reimer, Y. (2011). A theoretical framework for the studio as a learning environment. International Journal of Technology and Design Education, 23(2), 329–348. https://doi.org/10.1007/s10798-011-9181-5
  • Chen, Y., Kumar, A., Li, X. (2023). Exploring Possibilities of AI-Enabled Image Synthesis and Design in Education. 2023 IEEE Frontiers in Education Conference (FIE) içinde (ss.1-5). College Station, TX, USA. doi:10.1109/FIE58773.2023.10342958
  • Çiçek, S., Turhan, G. D., Özkar, M. (2023). Reconsidering Design Pedagogy through Diffusion Models. Proceedings of the 41st International Conference on Education and Research in Computer Aided Architectural Design in Europe (ECAADe) [Volume 1] içinde (ss.21-40) doi:10.52842/conf.ecaade.2023.1.031
  • Çiçek, S. ve Özkar, M. (2023). Reframing the Concept of Design Space in the Basic Design Studio. [Konferans sunumu] National Symposium - DSS’23_ Design Studies Symposium 2023: Realities and Frontiers, İzmir Ekonomi Üniveristesi, İzmir.
  • Denel, B. (1981). Temel Tasarım ve Yaratıcılık. ODTÜ Yayınları Ankara.
  • Dhariwal, P., Nichol, A. (2021). Diffusion models beat GANs on image synthesis. Advances in neural information processing systems, 34, 8780-8794. arXiv:2105.05233
  • Dorst, K. (2004). On the problem of design problems - problem solving and design expertise. Journal of Design Research, 4(2), 185-196. https://doi.org/10.1504/jdr.2004.009841
  • Dreyfus, H.L. (1972). What Computers Can’t Do? New York: MIT Press.
  • Dreyfus, H.L. (1992). What Computers Still Can’t Do? New York: MIT Press.
  • Figoli, F. A., Mattioli, F., Rampino, L. (2023). AI in the design process: Training the human-AI collaboration. D. Andrews et al. (Ed.) Proceedings of the 24th International Conference on Engineering and Product Design Education (E&PDE 2022) içinde (ss.360-365). The Design Society Institution of Engineering Designers. https://doi.org/10.35199/EPDE.2022.61
  • Goepel, K.D. (2018). Implementation of an Online Software Tool for the Analytic Hierarchy Process (AHP-OS). International Journal of the Analytic Hierarchy Process, Vol. 10(2), 469-487. https://doi.org/10.13033/ijahp.v10i3.590
  • Goldschmidt, G., Hochman, H., Dafni, I. (2010). The design studio “crit”: Teacher–student communication. AI EDAM/Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 24(3), 285–302. https://doi.org/10.1017/s089006041000020x
  • Güzelci, O. ve Şener, S. (2019). An entropy-based design evaluation model for architectural competitions through multiple factors. Entropy, 21(11), 1064. https://doi.org/10.3390/e21111064
  • Harputlugil, T., Gültekin, A. T., Prins, M., Topçu, Y. İ. (2014). Architectural Design Quality Assessment Based On Analytic Hierarchy Process: A Case Study. METU Journal of the Faculty of Architecture 31(2), 139-161. https://doi.org/10.4305/metu.jfa.2014.2.8
  • Ho, J., Jain, A., Abbeel, P. (2020). Denoising Diffusion Probabilistic Models. Advances in neural information processing systems, 33, 6840-6851. arXiv:2006.11239
  • Kahraman, C. (2018). A Brief Literature Review for Fuzzy AHP. International Journal of the Analytic Hierarchy Process, 10(2). https://doi.org/10.13033/ijahp.v10i2.599
  • Kavakoglu, A. A., Almaç, B., Eser, B., Alaçam, S. (2022). AI Driven Creativity in Early Design Education - A pedagogical approach in the age of Industry 5.0. Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, içinde (ss. 133–142). https://doi.org/10.52842/conf.ecaade.2022.1.133
  • Khean, N., Fabbri, A., Haeusler, M. H. (2018). Learning machine learning as an architect, how to? A. Kepczynska-Walczak, S. Bialkowski (Ed.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, içinde (ss. 95-102). doi:10.52842/conf.ecaade.2018.1.095.
  • Kubler, S., Robert, J., Derigent, W., Voisin, A., Traon, Y. (2016). A state-of the-art survey & testbed of fuzzy AHP (FAHP) applications. Expert Systems With Applications 65, 398-422. https://doi.org/10.1016/j.eswa.2016.08.064
  • Lizondo-Sevilla, L., Bosch-Roig, L., Ferrer-Ribera, C., Alapont-Ramon, J. L. (2019). Teaching Architectural Design Through Creative Practices. ODTÜ Mimarlık Fakültesi Dergisi, 36(1), 41–60. DOI: 10.4305/METU.JFA.2019.1.8
  • Midjourney (2024). Midjourney Documentation.[Text-to-image model]. https://docs.midjourney.com/
  • Palabiyik, S. ve Alkılınç, E.(2021). Developing a web based software for the evaluation of architectural designs. A/Z ITU Journal of Faculty of Architecture 18(2), 365-382. https://doi.org/10.5505/itujfa.2021.26986
  • Palabiyik, S. ve Çolakoğlu, B. (2012). Mimari tasarım sürecinde son ürünün değerlendirilmesi: Bir bulanık karar verme modeli. Megaron, 7(3), 191–206.
  • Radford, A., Narasimhan, K., Salimans, T., Sutskever, I. (2018). Improving Language Understanding by Generative Pre-Training. arXiv:2012.11747v3 [cs.LG]
  • Saaty, T. (2008). Decision making with the aalytic hierarchy process. International Journal of Services Sciences, 1(1), 83. https://doi.org/10.1504/ijssci.2008.017590
  • Saranlı, T. (1998). Başlangıçtan Bugüne Temel Tasarım. N. Teymur ve T. Aytaç Dural (Ed.). Temel Tasarım / Temel Eğitim içinde (37-47). ODTÜ Mimarlık Fakültesi Yayınları.
  • Schön D. A. (1985). The Design Studio, An Exploration of Its Traditions & Potential. London: RIBA publications.
  • Schön, D. A. (1987). Educating the Reflective Practitioner: Toward a New Design For Teaching and Learning in the Professions. Jossey-Bass.
  • Tong, H. T., Ülken, G., Türel, A., Şenkal, H., Ergün, F. Y., Güzelci, O. Z., Alaçam, S. (2023). An Attempt to İntegrate AI-Based Techniques İnto First Year Design Representation Course. Ghent: Academia Press. https://doi.org/10.26530/9789401496476-071
  • Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., Polosukhin, I. (2017). Attention is All You Need. Advances in Neural Information Processing Systems. arXiv:1706.03762
  • Zbinden, R. (2022). Implementing and Experimenting with Diffusion Models for Text- to- Image Generation. arXiv preprint arXiv:2209.10948.
There are 33 citations in total.

Details

Primary Language Turkish
Subjects Architectural Computing and Visualisation Methods, Architectural Science and Technology, Information Technologies in Architecture and Design
Journal Section Araştırma Makalesi
Authors

Selen Çiçek

Gülen Çağdaş

Gülce Kırdar 0000-0002-4700-6077

Publication Date October 23, 2024
Submission Date July 24, 2024
Acceptance Date September 22, 2024
Published in Issue Year 2024 Issue: 124

Cite

APA Çiçek, S., Çağdaş, G., & Kırdar, G. (2024). Temel Tasarımda Yeni Aktör: AHS Modeli ile Organik ve Yapay Zekâ Destekli Sentetik Çözüm Kümelerinin Değerlendirilmesi. Ege Mimarlık(124), 66-77.
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