Artificial intelligence applied to conceptual design. A review of its use in architecture
Conceptual architectural design is a complex process that draws on past experience and creativity to generate new designs. The application of artificial intelligence to this process should not be oriented toward finding a solution in a defined search space since the design requirements are not yet well defined in the conceptual stage. Instead, this process should be considered as an exploration of the requirements, as well as of possible solutions to meet those requirements. This work offers a tour of major research projects that apply artificial intelligence solutions to architectural conceptual design. We examine several approaches, but most of the work focuses on the use of evolutionary computing to perform these tasks. We note a marked increase in the number of papers in recent years, especially since 2015. Most employ evolutionary computing techniques, including cellular automata. Most initial approaches were oriented toward finding innovative and creative forms, while the latest research focuses on optimizing architectural form.
Reproducibility Dossier
GEOMDIGEST treats reproducibility as an evidence trail: public artifacts, documentation, data, packaging, archival stability, and verification checks. Numeric scores are only exposed for audited records; public pages prioritize the evidence itself.
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