From Cities to Distributed Intelligence Landscapes: Hybrid Foresight Through Drawing, Philosophy, and Generative AI

This research investigates an alternative approach to long-range urban foresight by employing a hybrid methodology combining deep-time conceptual reflection, exploratory drawing as an epistemic practice, structured interpretative analysis, and AI-assisted dialogical synthesis. The resulting synthesis articulates a theoretically generated post-urban scenario characterized by dispersed human habitation embedded in ecological landscapes, supported by advanced digital connectivity and artificial intelligence. Technologically intensive functions remain concentrated in infrastructural hubs, while everyday life becomes integrated with natural environments through walking-based mobility, bio-inspired architecture, and multispecies coexistence. The proposed model reinterprets urbanity as distributed intelligence within ecological continuity.