Developing a Dynamic Music and Dance Coordination Multi-Agent System Based on Real-Time Audience Feedback Analysis

Within the context of deep integration between digital entertainment and intelligent interaction, traditional music and dance systems fail to meet contemporary demands for immersive artistic experiences. Real-time audience feedback contains the emotional preferences, aesthetic tendencies, and willingness to participate of the audience, and is the core data resource driving the dynamic optimization of performance content. Multi-agent systems, relying on the advantages of distributed collaboration, can achieve flexible adaptation and real-time response to music generation and dance choreography. This paper develops a dynamic music and dance coordination multi-agent system based on real-time audience feedback analysis, aiming to improve the adaptive collaboration between audience emotion recognition, music generation, dance choreography, and performance control.