• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE/WIC/ACM International Conference on Intelligent Agent Technology >Learning Emotion Regulation Strategies: A Cognitive Agent Model
【24h】

Learning Emotion Regulation Strategies: A Cognitive Agent Model

机译：学习情绪调节策略：认知主体模型

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Learning to cope with negative emotions is an important challenge, which has received considerable attention in domains like the military and law enforcement. Driven by the aim to develop better training in coping skills, this paper presents an adaptive computational model of emotion regulation strategies, which is inspired by recent neurological literature. The model can be used both to gain more insight in emotion regulation training itself and to develop intelligent virtual reality-based training environments. The behaviour of the model is illustrated by a number of simulation experiments and by a mathematical analysis. In addition, a preliminary validation points out that it is able to approximate empirical data obtained from an experiment with human participants.
机译：学会应对负面情绪是一项重要的挑战，在军事和执法等领域受到了相当大的关注。出于发展更好的应对技能训练的目的，本文提出了一种情绪调节策略的自适应计算模型，该模型受到了近期神经病学文献的启发。该模型既可以用来获得对情绪调节训练本身的更多了解，也可以用于开发基于智能虚拟现实的训练环境。通过许多模拟实验和数学分析来说明模型的行为。另外，初步验证指出，它能够近似从与人类参与者进行的实验中获得的经验数据。

著录项

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