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English(EN) Retrieval-Augmented Large Language Model Decision-Making for Autonomous Driving Guided by Chinese Philosophical Wisdom

中国哲学指导自动驾驶AI

研究人员开发了CPW-Drive,一个新颖的检索增强生成(RAG)框架,用于自动驾驶决策,该框架整合了中国哲学的原则,特别是儒家思想。该系统旨在通过提取和情境化中国古典文本中的价值原则来平衡安全性、效率和社会规范。CPW-Drive利用了物理感知空间相似性检索(PSSR)方法来识别物理上相关的历史驾驶案例,在模拟高速公路驾驶场景中,其成功率更高,无碰撞步数也得到改善,优于基线方法。 AI

影响 这项研究表明,将伦理和哲学指导融入AI决策可以提高自动驾驶等复杂环境中的安全性和稳定性。

排序理由 该集群包含一篇详细介绍自动驾驶新AI框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

中国哲学指导自动驾驶AI

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该集群包含一篇详细介绍自动驾驶新AI框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Xiaojun Bi, Xiaoyuan Ma, Yiwen Sun, Tianren Huang, Chaoran Liu, Bokai Huang, Hao Yang, Baichuan Mo ·

    受中国哲学智慧启发的自动驾驶检索增强大型语言模型决策

    arXiv:2610.03948v3 Announce Type: replace Abstract: Autonomous driving decision systems must balance safety, efficiency, and social norms in complex traffic interactions. Philosophical and ethical considerations have received limited attention in existing autonomous driving decis…