Machine Learning-Based Design Systems for Holistic Landscape Integration of Traditional Settlements: Evolutionary Models Applied at Vikos Gorge

Nefeli P. Papagianni (), Yannis Zavoleas and Giorgos Smyris
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Nefeli P. Papagianni: Department of Architecture, Faculty of Engineering, University of Ioannina, 451 10 Ioannina, Greece
Yannis Zavoleas: Department of Architecture, Faculty of Engineering, University of Ioannina, 451 10 Ioannina, Greece
Giorgos Smyris: Department of Architecture, Faculty of Engineering, University of Ioannina, 451 10 Ioannina, Greece

Land, 2025, vol. 14, issue 9, 1-14

Abstract: The advancement of technology implies a simultaneous evolution of design tools, particularly in architecture and in the field of urban design. A new challenge has emerged, enabling a more holistic approach that considers the balance between environmental conditions and anthropogenic factors influencing the design process. This shift, coupled with the integration of Machine Learning systems that are continuously receiving feedback, is reshaping core design principles, moving away from a human-centered focus. The purpose of this research is to explore the innovative perspectives that such technological advancements offer, analyzing the dynamic relationships between the human subject and the natural elements. The goal is to develop a design system that can adapt to respective fields of study and anticipate changes based on input data. The traditional architecture initiated a dialog with contemporary culture through the application of emerging computational tools.

Keywords: sustainable urbanism; traditional settlements; machine learning; human/nature integration; topology (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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