Unverified50% confidenceFactExact time
In multi-agent systems, autonomy is usually defined as the ability of an agent to complete a closed-loop task without human intervention; human-in-the-loop (HITL) is a related pattern in which key decisions must be confirmed by a human.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
Unverified在AI Agent关键决策节点保留人在回路(HITL)确认机制对平衡自主性与可控性至关重要76% similarUnverified对于涉及不可逆外部动作的Agent操作应保留人类否决权,让Agent承担推理执行工作而在关键决策节点保留人类确认75% similarUnverifiedIn multi-agent architectures, messages sent from one agent to another should be protected in the same way as user input, and each agent should only possess the permissions necessary to run its tools.74% similarUnverifiedProactive Agents are capable of autonomously initiating tasks based on preset conditions or time triggers without human intervention, distinguishing them from traditional agents where humans trigger each action.72% similarUnverifiedTo judge whether a system is a true Agent, the key is whether it possesses an autonomous action loop, that is, whether it can complete the 'perception—decision—execution—feedback' cycle without relying on step-by-step instructions from the user.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1012566API
curl https://kongchang.com/api/v1/knowledge/claims/1012566MCP
get_claim(id=1012566)