LLM and Pattern Language Synthesis: A Hybrid Tool for Human-Centered Architectural Design
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| Veröffentlicht in: | Buildings vol. 15, no. 14 (2025), p. 2400-2432 |
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MDPI AG
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| Online-Zugang: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 022 | |a 2075-5309 | ||
| 024 | 7 | |a 10.3390/buildings15142400 |2 doi | |
| 035 | |a 3233107111 | ||
| 045 | 2 | |b d20250715 |b d20250731 | |
| 084 | |a 231437 |2 nlm | ||
| 100 | 1 | |a Postle, Bruno |u Union Street Research, 18-20 Union Street, Sheffield S12 JP, UK; bruno@postle.net | |
| 245 | 1 | |a LLM and Pattern Language Synthesis: A Hybrid Tool for Human-Centered Architectural Design | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This paper combines Christopher Alexander’s pattern language with generative AI into a hybrid design framework. The result is a narrative synthesis that can be useful for informed project design. Advanced large language models (LLMs) enable the real-time synthesis of design patterns, making complex architectural choices accessible and comprehensible to stakeholders without specialized architectural knowledge. A lightweight, web-based tool lets project teams rapidly assemble context-specific subsets of Alexander’s 253 patterns, reducing a traditionally unwieldy 1166-page corpus to a concise, shareable list. Demonstrated through a case study of a university department building, this method results in environments that are psychologically welcoming, fostering health, productivity, and emotional well-being. LLMs translate these curated patterns into vivid experiential narratives—complete with neuroscientifically informed ornamentation. LLMs produce representative images from the verbal narrative, revealing a surprisingly traditional design that was never input as a prompt. Two separate LLMs (for cross-checking) then predict the pattern-generated design to catalyze improved productivity as compared to a standard campus building. By bridging abstract design principles and concrete human experience, this approach democratizes architectural planning grounded on Alexander’s human-centered, participatory ethos. | |
| 653 | |a Physiology | ||
| 653 | |a Language | ||
| 653 | |a Software | ||
| 653 | |a Concrete | ||
| 653 | |a Built environment | ||
| 653 | |a Computer science | ||
| 653 | |a Buildings | ||
| 653 | |a Books | ||
| 653 | |a Project design | ||
| 653 | |a Generative artificial intelligence | ||
| 653 | |a Productivity | ||
| 653 | |a Knowledge management | ||
| 653 | |a Architecture | ||
| 653 | |a Well being | ||
| 653 | |a Cognitive ability | ||
| 653 | |a Synthesis | ||
| 653 | |a Chatbots | ||
| 653 | |a Narratives | ||
| 653 | |a Large language models | ||
| 653 | |a Decision making | ||
| 653 | |a Design | ||
| 653 | |a Real time | ||
| 653 | |a Architects | ||
| 700 | 1 | |a Salingaros, Nikos A |u Department of Mathematics, The University of Texas, San Antonio, TX 78249, USA | |
| 773 | 0 | |t Buildings |g vol. 15, no. 14 (2025), p. 2400-2432 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3233107111/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3233107111/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3233107111/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |