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Updated: Jan 19, 2026

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The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
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合作还是竞争? 通过进化游戏理论解决自动驾驶汽车的社会困境
1Department of Traffic Engineering & Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, China.
Accident; analysis and prevention
|January 17, 2026
概括
自动驾驶汽车 (AV) 可以通过采取适度的自我主义来在混合交通中解决社会困境,从而实现进化稳定. 随着市场透率的增加,动态调整社交性提高了AV性能.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 游戏理论 游戏理论
背景情况:
- 自动驾驶汽车 (AV) 和人类驾驶汽车 (HV) 的互动正在增加.
- 在竞争和合作行为之间,AVs面临着社会困境.
- 进化游戏理论 (EGT) 用于模拟混合交通中的长期适应.
研究的目的:
- 使用EGT和社会价值导向 (SVO) 度量来建模AV-HV相互作用.
- 在混合交通中确定AV的进化稳定策略 (ESS).
- 为设计适应性AV决策政策提供指导.
主要方法:
- 从未受保护的左转轨迹中校准的HV社会偏好.
- 开发了一个两种种群的EGT,其中包含了HV异质性.
- 使用SVO信息的奖励来构建复制器分析的回报矩阵.
主要成果:
- 适度自私的AV政策缓解了社会困境,并实现了人口主导.
- 过度合作的 AV 政策在进化上是不稳定的.
- 视听器受益于对手意识,动态调节的社交性.
结论:
- 适度的自私是混合交通中有效的AV策略.
- 在50%的市场透率左右,AV优势变得显著.
- 该框架为社会兼容的AV决策提供了指导.
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