An exploration of AI-supported architectural design methods that enhance cognitive processing and adaptability.
This study introduces Cognitive Feedback Architectures (CFA), an AI-supported design methodology that models architectural reasoning as iterative feedback loops rather than static decision trees. The system evaluates performance, applies corrective modifications, and continuously refines spatial and structural configurations. The approach increases cognitive transparency, supports adaptive generation, and aligns computational processes with real design practice.
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Serhat Gelener (2026) studied this question.
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