We implement Csikszentmihalyi’s systems model of creativity (the interaction of individual, field, and domain) as an in silico simulation by multiple generative-AI-driven agents, …
Using generative adversarial networks (GANs), we propose a framework for creative data generation that goes beyond mere reproduction of training data. Through the adversarial …
We study co-creative music generation that estimates users’ affective preferences on the fly through dialogue and reflects them in diverse creative suggestions. Using In-Context …