Feb. 2, 2024, 3:42 p.m. | Milin Kodnongbua Lawrence H. Curtis Adriana Schulz

cs.CV updates on arXiv.org arxiv.org

This paper introduces a novel automated system for generating architecture schematic designs aimed at streamlining complex decision-making at the multifamily real estate development project's outset. Leveraging the combined strengths of generative AI (neuro reasoning) and mathematical program solvers (symbolic reasoning), the method addresses both the reliance on expert insights and technical challenges in architectural schematic design. To address the large-scale and interconnected nature of design decisions needed for designing a whole building, we proposed a novel sequential neuro-symbolic reasoning approach, …

architecture automated cs.ai cs.cv cs.gr decision designs development expert generative insights making neuro novel outset paper project real estate reasoning reliance symbolic reasoning zero-shot

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