Unverified50% confidenceFactExact time
The sequential auction framework models multi-step tasks as an MDP, where each state represents a partially completed task, agents bid for the right to take the next action, and after the auction clears the winner executes and updates the state, looping until the task is complete.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedPrompt chaining is decomposing a complex task into multiple sequentially called LLM steps, where each step's output serves as the next step's input, offering three engineering advantages: observability, cost optimization, and controllability.71% similarUnverifiedPrompt Chaining decomposes complex tasks into multiple sequentially executed steps using only a single LLM instance throughout, and sits between a single call and a full agent on Anthropic's agent system maturity ladder.70% similarUnverifiedThe scene graph provides dense rewards for each task stage, ensuring that when the policy starts from a reset state, the exploration path is sufficiently short and clearly guided.70% similarUnverifiedgoals/continuation.md在每一轮结束时自动注入，用于评估目标是否完成并决定是否继续下一轮操作69% similarVerifiedA workflow chains multiple steps into an ordered process, suitable for scenarios where task logic is fixed and predictable.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1057402API
curl https://kongchang.com/api/v1/knowledge/claims/1057402MCP
get_claim(id=1057402)