Agentic Creativity

Abstract

This chapter explores the emergence of agentic AI in architectural design – systems that move beyond generative assistance to act as active collaborators. Building on the transition from expert to learning systems and from retrieval to generation, it proposes Creative AI as a framework integrating intuition and reasoning across multi-agent, multimodal networks. Unlike traditional generative models that interpolate within data, agentic systems negotiate constraints, critique outcomes, and evolve strategies through cooperative and adversarial interactions. Drawing from projects such as Gaudí + Neural Networks, DeepHimmelblau, and Semantic Universes, the chapter illustrates how distributed, node-based ecologies of specialiszed and generalist agents can co-create, evaluate, and refine architectural ideas. This evolution redefines authorship: the architect shifts from directing tools to orchestrating intelligences, guiding dialogues among human and machine agents. Agentic AI thus marks a new paradigm in design – one of negotiation, reflection, and shared creativity across human--machine networks.