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Architectural design’s cognitive processes are often termed a ‘black box’ due to their opacity. Artificial intelligence (AI) risks creating a ‘double black box’, where model inscrutability compounds creative ambiguity. This study reimagines AI as a cognitive partner for analysis, synthesizing René Thom’s catastrophe theory with an AI-driven methodology to illuminate design cognition. Through a speculative analysis of Tadao Ando’s Koshino House, we demonstrate how this approach creates a ‘semi-transparent box’, visualizing conceptual bifurcations and qualitative leaps to reveal the underlying logic of creative shifts. This computational hermeneutics offers a new epistemology for design, demystifying the creative process by mapping its catastrophic-like transitions and offering a clear, reproducible analytical pipeline.

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Making the Black Box Transparent: Testing Architectural Catastrophism Through Artificial Intelligence

  • 会议论文

  • 发表日期：

    2026年

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  • Amira Naoui

摘要

Architectural design’s cognitive processes are often termed a ‘black box’ due to their opacity. Artificial intelligence (AI) risks creating a ‘double black box’, where model inscrutability compounds creative ambiguity. This study reimagines AI as a cognitive partner for analysis, synthesizing René Thom’s catastrophe theory with an AI-driven methodology to illuminate design cognition. Through a speculative analysis of Tadao Ando’s Koshino House, we demonstrate how this approach creates a ‘semi-transparent box’, visualizing conceptual bifurcations and qualitative leaps to reveal the underlying logic of creative shifts. This computational hermeneutics offers a new epistemology for design, demystifying the creative process by mapping its catastrophic-like transitions and offering a clear, reproducible analytical pipeline.