arXiv cs.AI论文
多智能体系统应优先考虑并发控制
该立场论文指出，基于LLM的多智能体系统在扩展时可靠性下降，其失败模式常被归因于协调或通信问题，但本质上多为并发控制问题：智能体并发读写共享状态，长推理窗口加剧了脏读、丢失更新和不一致结果。作者主张将并发控制作为一等设计关注点，通过冲突检测、隔离保证和结构化共享资源访问来解决。
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Abstract:LLM-based multi-agent systems (MAS) promise scalable collaboration, yet adding agents often reduces reliability. This position paper argues that many MAS failures are fundamentally concurrency control problems: agents concurrently read and write shared state, and long LLM inference windows amplify the risk of stale reads, lost updates, and inconsistent outcomes. Failure modes commonly attributed to coordination or communication breakdowns can be mapped directly onto classical concurrency anomalies. We contend that MAS frameworks should address these failures through explicit concurrency control mechanisms: conflict detection, isolation guarantees, and structured access to shared resources. Concurrency control should be a first-class design concern, not an afterthought.