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Author

N. Salingaros

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#generative ai Open access Sep 2026

Why Architecture May Miss the AI Revolution: Consilience, Constraint-Governed Design, and Incorrigibility

Objective: Architecture may fail to benefit from generative artificial intelligence unless AI operates on top of an evidence-tested design theory. Visual novelty is not architectural innovation. Methods: This paper uses Boyd’s OODA learning loop and synthesizes Alexander’s theory of living structure from The Nature of...

N. Salingaros · 0 citations
Open access Aug 2026

When AI Evaluates Design More Responsibly than Architects: A Hypothesis on Consciousness, Design Generation, and Feedback Loops

Buildings and urban spaces affect attention, emotion, orientation, recovery, social behavior, and stress regulation—yet architectural evaluation often lacks feedback loops. This paper develops a theoretical framework for evidence-responsive design evaluation. Operational design consciousness is the capacity for registe...

N. Salingaros, Alexandros A. Lavdas, Stephen M. Peña · 0 citations

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