HCRA turns collaborative recommendation into a stochastic game whose termination condition is driven by human-calibrated acceptance probability and linguistic self-reflection, yielding higher success rates than uncalibrated reflection.
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Human-Centric Reflective Architecture for Human-AI Collaborative Decision-Making
HCRA turns collaborative recommendation into a stochastic game whose termination condition is driven by human-calibrated acceptance probability and linguistic self-reflection, yielding higher success rates than uncalibrated reflection.