Performance driven generative design systems: Agent based model driven design methodologies in architectural education

The research paper elaborates upon multi-performative generative design strategies by means of associative computational simulations incorporating social, environmental, spatial and structural dimensions. The interdisciplinary research driven design approach presented in this paper is exemplified via design experiments conducted at Hyperbody, TU Delft’s graduation studios. These experiments consciously fuse Agent based modeling (ABM), Associative and parametric design techniques, Swarm intelligence Models and Environmental analysis to evolve a comprehensive, performance driven design methodology. A looped process of iterative information exchange between analytical, aesthetic, fabrication and real-time interactive behavior based modes of experimentation for evolving performance driven architectural formations is thus proposed. This inter-performing data-driven approach devoid of its reliance on architecture styles and typologies is thus deemed a democratic methodology to understand our built environment and to bottom-up produce sustainable architectural morphologies. An interdisciplinary mode of operation to invent a new take on pre-processing via integration rather than post-design optimization of architectural space for the sake of sustainability is thus seen as a vital outcome of the research and design methodology