信息管理与商业智能系学术讲座（10月28日）
题目：Building Negotiation Agents: Achieving Economic Efficiency and Fairness via Deep Reinforcement Learning
主讲人：徐云杰教授 信息管理与商业智能系
时间：2025-10-28 13:30-14:30
地点：
线下：李达三楼105室 线上：腾讯会议号281365454/722722
内容摘要:
Negotiation is central to value creation and distribution in business-to-business (B2B) trading. However, efficiency losses under information asymmetry remain a core challenge. Traditional mechanism design approaches, constrained by analytical tractability, struggle to accommodate the complexity of real-world negotiation dynamics. To address this gap, this study integrates deep reinforcement learning with AI-driven negotiation simulations. In single-issue settings, our framework achieves higher efficiency than the benchmark economic predictions. In multi-issue settings where conventional approaches becomes intractable, our framework remains effective, demonstrating both robustness and scalability.
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