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This paper introduces a Human-Centric Reflective Architecture (HCRA) for human-AI collaborative decision-making, formulating the task as a stochastic game and using reinforcement learning with linguistic feedback. The proposed framework significantly improves decision-making effectiveness and recommendation quality.