Multi-Agent Simulation of the Systems Model of Creativity

2024年1月1日 · 1 min read
research

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, and constructively clarify how creativity emerges on a social system. We further address the co-evolution of generative strategies and evaluative preferences in AI music (cultural drift), aiming at a multifaceted understanding of creative dynamics in agent populations.

Related papers:

  • Naomi Imasato, Kazuki Miyazawa, Takayuki Nagai, Takato Horii. “Creative Agents: Simulating the Systems Model of Creativity with Generative Agents”. IEEE Access, Vol. 13, 2025.
  • Futa Hidaka, Naomi Imasato, Kazuki Miyazawa, Takato Horii. “Cultural Drift in AI Music: Co-evolution of Generative Strategies and Evaluative Preferences”. 2025 IEEE International Conference on Development and Learning (ICDL), September 2025.
  • Naomi Imasato, Kazuki Miyazawa, Takayuki Nagai, Takato Horii. “[LBA] Towards Emergence of Human Creativity in silico Simulation of the Systems Model of Creativity using generative AI”. 2024 Conference on Artificial Life (ALIFE), 2024.
Creativity-Model
Takato Horii
Authors
Takato Horii (he/him)
Associate Professor
Associate Professor at Graduate School of Engineering Science, Osaka University. Research interests include cognitive developmental robotics, computational modeling of emotional development, and human-robot interaction.