Unverified50% confidenceSolutionExact time
The typical working loop of an MCP-driven game agent consists of four stages: environment perception, strategy reasoning, action execution, and feedback iteration
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Long-term
Relevance
9/11/2026
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Related Claims
UnverifiedMCP Apps将Human-in-the-Loop从线性检查点模式升级为持续循环模式，用户的每次UI交互都成为Agent决策的输入信号68% similarUnverified完整的智能体系统由推理循环、工具调用循环和任务编排循环三个层次的反馈循环构成67% similarVerifiedThe agent loop follows a 'reasoning-action-observation' paradigm, iterating repeatedly until the goal is achieved or a stopping condition is reached.66% similarUnverifiedThe most critical characteristic of the agent loop is that the number of iterations is unknown in advance, and the action sequence emerges step by step based on task state during execution.65% similar
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