Position: Multi-Agent Systems Should Prioritize Concurrency Control
Treating agent coordination as a database-style concurrency problem is key to reliable large-scale AI deployment.
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 inferen...
ArXiv CS.AI
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As multi-agent systems grow in complexity, the traditional focus on communication must shift toward managing the integrity of shared state to prevent race conditions. Implementing classical concurrency control will be essential for building reliable, autonomous architectures capable of handling large-scale collaborative tasks.
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