Human-Machine Collaboration: Re-Coding Space With Artificial Intelligence and Agent-Based Modeling

The advancement of contemporary software and digital production tools has enabled the emergence of AI systems based on human-machine collaboration and the creation of hybrid spaces. This study addresses the problem of integrating adaptive behavior in architectural design through agent-based modeling (ABM) and interactive sensors. ABM, used to understand and simulate complex systems' evolutionary dynamics, models individual agents and their interactions. The methodology involves creating biodigital spaces with ABM, interactive sensors, and AI models trained on data sets. These generative systems shape hybrid spaces using a morphogenetic approach. Results show that user-interactive ABM and AI models provide innovative solutions for fluid hybrid spaces, transforming spatial experiences and enabling collaborative design. The main findings highlight the potential of responsive digital extensions to create complex forms and the importance of collaborative processes in responsive space production. This study demonstrates the interdisciplinary interaction required to produce unique architectural solutions.