2024

SCAPE: Searching Conceptual Architecture Prompts using Evolution

Lim, Soo Ling, Bentley, Peter J, Ishikawa, Fuyuki

Understand

Conceptual architecture involves a highly creative exploration of novel ideas, often taken from other disciplines as architects consider radical new forms, materials, textures and colors for buildings.

  • While today's generative AI systems can produce remarkable results, they lack the creativity demonstrated for decades by evolutionary algorithms.
  • SCAPE, our proposed tool, combines evolutionary search with generative AI, enabling users to explore creative and good quality designs inspired by their initial input through a simple point and click interface.
  • SCAPE injects randomness into generative AI, and enables memory, making use of the built-in language skills of GPT-4 to vary prompts via text-based mutation and crossover.

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