Through its development of software and digital production technologies, the advancement of artificial intelligence (AI) systems centered on human-machine interaction has accelerated, paving the way for the emergence of hybrid space designs. This paper is about the integration of adaptive behavior into architectural design through agent-based modeling (ABM) and interactive sensors; it evaluates the potential of the ABM approach to model the interactions of individual agents to understand and simulate the evolutionary dynamics of complex systems. Using ABM, interactive sensors, and AI models trained on datasets to create bio-digital spaces, the study takes a morphogenetic approach to spaces that are shaped by generative systems. It shows how user-interactive ABM and AI models offer innovative solutions for fluid hybrid spaces and transform spatial experiences. The findings reveal the potential of adaptive digital extensions in complex form generation and the importance of transdisciplinary collaboration in responsive spatial design.
MaturanaHRVarelaFJ. Autopoiesis and cognition: the realization of the living. D. Reidel Publishing Company, 1980.
9.
MaturanaHRVarelaFJ. The tree of knowledge: the biological roots of human understanding. Shambhala, 1992.
10.
SchumacherP. The autopoiesis of architecture, volume I: a new framework for architecture. John Wiley & Sons, 2011.
11.
SchumacherP. Cyber-urban integration. In: Disruptive technologies: The convergence of new paradigms in architecture. Springer International Publishing, 2023.
12.
DysonF. “Space”, “being” and other fictions in the domain of the virtual. Princeton Architectural Press, 1998.
13.
WienerN. Cybernetics: or control and communication in the animal and the machine. MIT Press, 1985.
14.
KrippendorffK. A dictionary of cybernetics. The American Society for Cybernetics, 1986.
15.
RothGSchweglerH. Self-organizing systems: an interdisciplinary approach. Campus Verlag, 1981.
16.
del CampoMLeachN (eds). Machine hallucinations: Architecture and artificial intelligence. John Wiley & Sons, 2022.
17.
SchumacherP. Responsive environments – from drawing to scripting, experimental research in architecture and design beginnings. Royal Institute of Technology, 2004.
KolarevicB. Digital morphogenesis and computational architectures. In: Proceedings of the 4th Congress of the Ibero-American Digital Graphics Conference, SIGRADI 2000 – Construindo (n)o Espaço Digital (Constructing the Digital Space).Brazil: Rio de Janeiro, 2000, pp. 98–103.
20.
LangtonCG. A new definition of artificial life. MIT Press, 1997.
21.
FrazerJH. An evolutionary architecture. Architectural Association Publications, 1995.
HenselMMengesAWeinstockM. Morphogenesis and emergence (2004–2006). In: CarpoM (ed). The digital turn in architecture 1992–2012. Wiley, 2013, pp. 158–181.
24.
CarpoM. On the posthuman charm of slime and mould. Archit Des2024; 94(1): 46–51.
25.
LeachN. Digital morphogenesis. Archit Des2009; 79(1): 32–37.
26.
RoudavskiS. Towards morphogenesis in architecture. Int J Architect Comput2009; 7(3): 345–374.
27.
HollandJH. Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. MIT Press, 1992.
28.
DeplazesAHuppenbauerM. Synthetic organisms and living machines: positioning the products of synthetic biology at the borderline between living and non-living matter. Syst Synth Biol2009; 3: 55–63.
29.
YouvanDC. A new kind of biophysics: integrating biological and physical systems in the era of artificial intelligence [preprint]. 2024. DOI:10.13140/RG.2.2.11018.89288.
MengXBGaoXZLuL, et al.A new bio-inspired optimisation algorithm: Bird Swarm Algorithm. J Exp Theor Artif Intell2016; 28(4): 673–687.
32.
MeyersRA (ed). Mathematics of complexity and dynamical systems. Springer, 2011.
33.
MacalCM. Agent-based modeling and artificial life. Complex social and behavioral systems: Game theory and agent-based models. Springer, 2020, pp. 725–745.
34.
CarpoM. AI tectonics, or the culture wars of building technology. Archit Intell2025; 4(1): 2–9.
35.
LeachN. In the mirror of AI: what is creativity?Archit Intell2022; 1(1): 15.
36.
CoelhoMIshiiHMaesP. Surflex: a programmable surface for the design of tangible interfaces. In: CHI’08 extended abstracts on human factors in computing systems, Florence, Italy, 5–10 April 2008. ACM, 2008, pp. 3429–3434.
37.
LiYBaciuDCNovakM, et al.Equivalence: an analysis of artists' roles with image generative AI from conceptual art perspective through an interactive installation design practice. arXiv preprint2024; arXiv:2404.18385.
AllenS. Practice: architecture, technique and representation. Routledge, 2012.
40.
HenselMU. Modelling modelling: trajectories in developing instrumental design processes. In: Persistent Modelling. Routledge, 2012, pp. 71–80.
41.
HollSPallasmaaJPerez GomezA. Questions of perception: Phenomenology of architecture. Princeton Architectural Press, 2007.
42.
LynnG. Architectural curvilinearity, the folded, the pliant and the supple. Archit Des1993; 102: 8–15.
43.
KolarevicB. Architecture in the digital age: design and manufacturing. Spon Press-Taylor & Francis Group, 2003.
44.
Jerković-BabovićBNikezićA. Instrumentalization of the fluidity phenomenon in architectural design. Frontiers of Architectural Research2024; 13(6): 1249–1269.
45.
StielerDSchwinnTLederS, et al.Agent-based modeling and simulation in architecture. Autom ConStruct2022; 141: 104426.
46.
FarahiBLeachN. Interactive design: towards a responsive environment. Birkhäuser, 2023.
47.
DourishPBellG. Divining a digital future: mess and mythology in ubiquitous computing. MIT Press, 2011.
