Generative Artificial Intelligence Architecture

Generative AI architectures aim to create systems capable of generating novel and realistic outputs, such as images, designs, or even simulated social interactions. Current research focuses on developing sophisticated models, including diffusion models for visual content, Gaussian Mixture Models for optimization problems, and novel agent-based architectures incorporating elements like normative modules to facilitate cooperation and social emergence. These advancements are impacting diverse fields, from optimizing industrial processes through digital twins to revolutionizing creative design and fostering a deeper understanding of complex social dynamics.