Unverified50% confidenceConceptExact time
In multi-agent systems, the phenomenon in which multiple agents with local knowledge produce collective intelligence that exceeds the sum of individual capabilities through interaction is called emergence.
1
Sources
50%
Confidence
Long-term
Relevance
8/30/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedMulti-agent systems exhibit non-stationarity, as the optimal policy for each agent depends on the behavior of the other agents.79% similarUnverified自发协调是指多个AI智能体在没有明确中央指令的情况下，通过各自的决策逻辑自然形成协同行为的现象75% similarUnverifiedIn independent learning, each agent treats other agents as part of the environment, causing the environment to exhibit non-stationarity.71% similarUnverifiedIn multi-agent architectures, sub-agents derived from an orchestrator may inherit or even expand permissions that were not explicitly granted, which is an agent variant of the confused deputy problem70% similarUnverifiedAssigning 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.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/824106API
curl https://kongchang.com/api/v1/knowledge/claims/824106MCP
get_claim(id=824106)