Multi-Agent Coordination Adaptation via Structure-Guided Orchestration
As large language model (LLM)-based multi-agent systems scale to handle increasingly complex tasks, balancing structural stability and dynamic adaptability becomes increasingly challenging. Existing systems typically adopt either structure-centric methods, committing to structures determined upfront that limit fine-grained control, or orchestration-centric methods, adapting decisions dynamically while leaving coordination structure implicit and unstable. To address this challenge, we revisit multi-agent coordination from a probabilistic perspective, casting it as posterior inference over the joint distribution of structure and orchestration. We introduce MACA, an automated coordination fr...
| Authors | Haoran Li, Shulun Chen, Shaoyuan Sun et al. |
|---|---|
| Primary category | cs.MA |
| Published | 25 May 2026 |
| Last updated at source | 25 May 2026 |
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