Human-machine collaboration: Re-coding space with artificial intelligence and agent-based modeling

Abstract

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.