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Machine Learning in Design Exploration by simanurcetn is a document available to read on EtoBox.

What is Machine Learning in Design Exploration about?

This conference paper discusses a novel method integrating machine learning (ML) to aid architects in navigating design spaces while avoiding design fixation. By utilizing typologically clustered schemas instead of fixed solutions, the approach fosters creativity and enhances human-machine collaboration during the design process. The study demonstrates through mixed-methods research that structured exploration can lead to quicker iterations and broader design exploration without constraining creative agency

Author

simanurcetn

Language

EN