Unverified50% confidenceFactExact time
Emergence in multi-agent research refers to behaviors exhibited by the system as a whole that cannot be directly derived from the rules of individual agents.
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Long-term
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10/19/2026
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UnverifiedControlled synthesis experiments found that agents' judgment-level bias is model-dependent, with no consistent pattern.76% similarVerifiedAssigning each agent a dedicated capability boundary and prompt often outperforms having a single model handle everything, a principle that is connected to the effectiveness of chain-of-thought prompting.73% similarUnverifiedAgent behavior is highly non-deterministic, and the same input may produce completely different tool call chains across different runs.72% similarUnverifiedIn multi-agent systems, all logs generated by agents are written by the agents themselves and cannot serve as reliable evidence that they actually performed the actions they claimed.72% similarVerifiedMulti-agent systems exhibit non-stationarity, as the optimal policy for each agent depends on the behavior of the other agents.72% similar
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