SPARKIT: A Mind Map-Based MAS for Idea Generation Support

Innovative solutions to societal challenges require the generation of creative ideas. Collaboration between humans and multi-agent systems (MAS) is a promising approach for idea generation, yet fostering creative discussions remains a challenge. This paper proposes Synergistic Platform for Advancing and Reinforcing Knowledge through Interactive Tools (SPARKIT) and SPARK-flow leveraging mind maps to facilitate idea generation within a MAS framework. SPARKIT supports idea generation with two types of large language model (LLM)-based agents: Debater Agents and the Moderator Agent. Debater Agents offer varied perspectives from their expertise, while the Moderator Agent structures discussions into a mind map to enhance user-agent collaboration. SPARK-flow is designed to stimulate creative idea generation by orchestrating discussions among these agents. A distinctive aspect of SPARKIT and SPARK-flow is that the agents facilitate the discussion and its structuring into a mind map, reducing the user’s burden compared to existing methods. This paper compares different methods of discussion using language models and reveals that the impact of the discussion method on the creativity of ideas is consistent between humans and language models, with mind maps significantly enhancing creativity.