• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>20th European conference on artificial intelligence >Efficient Norm Emergence through Experiential Dynamic Punishment
【24h】

Efficient Norm Emergence through Experiential Dynamic Punishment

机译：通过体验式动态惩罚有效地出现规范

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Peer punishment has been an effective means to ensure that norms are complied with in a population of self-interested agents. However, current approaches to establishing norms have only considered static punishments, which do not vary with the magnitude or frequency of norm violation. Such static punishments are difficult to apply because it is difficult to identify an appropriate fixed penalty: one that is not too weak to disincentivise norm violations and not too strong to lead to significant deleterious effects on the system as a whole (such as those incurred by losing the benefits of a member of the population). This paper addresses this concern by developing an adaptive punishment technique that tailors penalty to norm violation. An experimental evaluation of the approach demonstrates its value compared to static punishment. In particular, the results show that our dynamic punishment technique is capable of achieving norm emergence, even when starting with an amount of punishment that is too low to achieve emergence in the traditional static approach.
机译：同伴惩罚一直是确保在一群自私的代理人中遵守规范的有效手段。但是，当前建立规范的方法仅考虑了静态惩罚，不会随违反规范的程度或频率而变化。这种静态惩罚难以适用，因为很难确定适当的固定惩罚：这种惩罚不至于太弱以至于不能消除违反规范的动机，也不能太强而对整个系统造成重大的有害影响（例如由失去人口的利益）。本文通过开发一种适应惩罚以适应违反规范的惩罚技术来解决这一问题。该方法的实验评估证明了其与静态惩罚相比的价值。特别是，结果表明，即使以传统静态方法中太少的惩罚量就无法实现出现，我们的动态惩罚技术也能够实现规范出现。

著录项

  • 来源
  • 会议地点 Montpellier(FR)
  • 作者

    Samhar Mahmoud; Nathan Griffiths; Jeroen Keppens; Michael Luck;

  • 作者单位

    Department of Informatics, King's College London, London WC2R 2LS, UK Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK;

    Department of Informatics, King's College London, London WC2R 2LS, UK Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK;

    Department of Informatics, King's College London, London WC2R 2LS, UK Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK;

    Department of Informatics, King's College London, London WC2R 2LS, UK Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号