PROTOTYPING GENERATIVE ARCHITECTURE

摘要: Computational design was developed to solve complex problems in architecture and to enable the establishment of systems with complex properties in a holistic manner. With the enhanced capabilities of computational design, there are possibilities to develop integrated approaches to adapt to multi-faceted design problems. Swarm-based multi-agent systems (MAS) are already used as generative bottom-up methods in various design operations, including form-finding and optimization. This study presents a systematic approach, in which multi-agent systems are informed by the environmental performance assessment data where the output is directly linked to the 3D printing process. The intent is to increase efficiency within the design and prototyping process by integrating performance and fabrication into the early stages of the design process. The proposed method has been applied as a case study to a diverse group of students and professionals. The results have proven that applying this systematic approach enabled the designers to achieve highly sophisticated, formal and organizational outputs, with enhanced spatial and geometric qualities.