Unverified50% confidenceFactExact time
Agent behavior is probabilistic; with the same prompt, switching models, changing instructions, or adding more tools may lead to completely different outputs.
1
Sources
50%
Confidence
Long-term
Relevance
11/10/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedAn agent's behavioral chain is essentially a probabilistic reasoning process in which the same input may produce different tool-call sequences, which is what makes agent evaluation difficult.80% similarUnverifiedAgent systems are inherently non-deterministic; the same input may produce different execution paths at different moments.79% similarUnverifiedAgent的行为路径是概率性的，不同于按钮点击后的确定性响应，对交互设计的容错、状态反馈和用户预期管理提出新挑战77% similarVerifiedThe essential difference between Agents and traditional script automation lies in their goal-driven execution mode and their capabilities for exception handling and dynamic decision-making.77% similarUnverifiedThe key difference between agent workloads and traditional single-inference calls is that a single user request unfolds into a call chain of uncertain length, each step must carry historical context, and external side effects may be triggered.77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1157718API
curl https://kongchang.com/api/v1/knowledge/claims/1157718MCP
get_claim(id=1157718)