Stigmergy sebagai Strategi Transformasi Desain Arsitektur Berbasis Waktu

Nur Hadiyatun Nabawi, Kristanti Dewi Paramita

Abstract

Stigmergy as a Time-Based Architectural Design Transformation Strategy

This article explains that conventional architecture still tends to see buildings as static objects, so changes after occupation are often treated merely as operational effects rather than as part of design strategy. This view limits the understanding of architecture as a system that continuously develops through interactions among users, materials, activities, and the environment. The study proposes a conceptual model by synthesizing the agent–medium–trace relationship, identifying five stigmergy systems in spatial contexts, and reformulating the link between system mechanisms and phases of temporal transformation. The results reveal four phases of spatial transformation—Activation, Intensification, Structural Shift, and Reconfiguration—which operate through five systems: controlling, guiding, protecting, direction, and zoning. The article’s main contribution is the Strategic Temporal Transformation Matrix, which positions time as a strategic framework for understanding design transformation and supporting adaptive spatial and environmental systems that evolve gradually over time.

Keywords

adaptive spatial systems; design transformation; environmental design; stigmergy; time-based architecture

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References

Askar, R., Bragança, L., & Gervásio, H. (2021). Adaptability of buildings: A critical review on the concept evolution. Applied Sciences, 11(10), 4483. https://doi.org/10.3390/app11104483

Boldini, A., Civitella, M., & Porfiri, M. (2024). Stigmergy: From mathematical modelling to control. Royal Society Open Science, 11(9), 240845. https://doi.org/10.1098/rsos.240845

Castaño-Rosa, R., Pelsmakers, S., Järventausta, H., Poutanen, J., Tähtinen, L., Rashidfarokhi, A., & Toivonen, S. (2022). Resilience in the built environment: Key characteristics for solutions to multiple crises. Sustainable Cities and Society, 87, 104259. https://doi.org/10.1016/j.scs.2022.104259

Cerè, G., Rezgui, Y., & Zhao, W. (2017). Critical review of existing built environment resilience frameworks: Directions for future research. International Journal of Disaster Risk Reduction, 25, 173–189. https://doi.org/10.1016/j.ijdrr.2017.09.018

DeLanda, M. (2016). Assemblage theory. Edinburgh University Press.

Dias, C. S., Trivedi, M., Volpe, G., Araújo, N. A. M., & Volpe, G. (2023). Environmental memory boosts group formation of clueless individuals. Nature Communications, 14, 7324. https://doi.org/10.1038/s41467-023-43099-0

Dierichs, K., & Menges, A. (2021). Designing architectural materials: From granular form to functional granular material. Bioinspiration & Biomimetics, 16(6), 065010. https://doi.org/10.1088/1748-3190/ac2987

Heidrich, O., Kamara, J. M., Maltese, S., Re Cecconi, F., & Dejaco, M. C. (2017). A critical review of the developments in building adaptability. International Journal of Building Pathology and Adaptation, 35(4), 284–303. https://doi.org/10.1108/IJBPA-03-2017-0018

Heylighen, F. (2016a). Stigmergy as a universal coordination mechanism I: Definition and components. Cognitive Systems Research, 38, 4–13. https://doi.org/10.1016/j.cogsys.2015.12.002

Heylighen, F. (2016b). Stigmergy as a universal coordination mechanism II: Varieties and evolution. Cognitive Systems Research, 38, 50–59. https://doi.org/10.1016/j.cogsys.2015.12.007

Lee, J. H., Ostwald, M. J., & Kim, M. J. (2021). Characterizing smart environments as interactive and collective platforms: A review of the key behaviors of responsive architecture. Sensors, 21(10), 3417. https://doi.org/10.3390/s21103417

Lin, Y., Xu, L., Yang, W., Tian, L., & Chan, M. (2025). A systematic review on the research and development of adaptive buildings. Buildings, 15(10), 1593. https://doi.org/10.3390/buildings15101593

Nabawi, N. H., Paramita, K. D., & Yatmo, Y. A. (2022). Stigmergy mechanism as a form of architectural space programming. Civil Engineering and Architecture, 10(6), 2258–2289. https://doi.org/10.13189/cea.2022.100604

Salman, M., Garzón Ramos, D., & Birattari, M. (2024). Automatic design of stigmergy-based behaviours for robot swarms. Communications Engineering, 3, 30. https://doi.org/10.1038/s44172-024-00175-7

Semjén, Á. Á., & Szép, J. (2025). Integrating generative and parametric design with BIM: A literature review of challenges and research gaps in construction design. Applications in Engineering Science, 23, 100253. https://doi.org/10.1016/j.apples.2025.100253

Staehr, E. R., Stevik, T. K., & Houck, L. D. (2025). Adaptability in the building process: A multifaceted perspective across the life cycle of a building. Buildings, 15(7), 1119. https://doi.org/10.3390/buildings15071119

Thomsen, M. R. (2022). Computational design logics for bio-based design. Architectural Intelligence, 1, 13. https://doi.org/10.1007/s44223-022-00015-8

Zhuang, X., Zhu, P., Yang, A., & Caldas, L. (2025). Machine learning for generative architectural design: Advancements, opportunities, and challenges. Automation in Construction, 174, 106129. https://doi.org/10.1016/j.autcon.2025.106129

DOI: https://doi.org/10.20961/arst.v24i1.117190

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