...
首页> 外文期刊>IEEE security & privacy >Decision and Experienced Utility: Computational Applications in Privacy Decision Making
【24h】

Decision and Experienced Utility: Computational Applications in Privacy Decision Making

机译:决策和经验丰富的工具:隐私决策中的计算应用

获取原文
获取原文并翻译 | 示例
           

摘要

The existing computational models of privacy decisions are derived from expected utility theory, and can be equated with the von Neumann-Morgenstern (1953) perspective on decision utility. Here, I introduce experienced utility to privacy research, and shed light on the computational relations of experienced utility and decision utility, and computational applications of behavioral economics theories and concepts.
机译:现有的隐私决策计算模型是从预期效用理论推导出来的,可以等同于冯·诺伊曼-摩根斯滕(von Neumann-Morgenstern(1953))关于决策效用的观点。在这里,我将有经验的效用介绍给隐私研究,并阐明有经验的效用和决策效用的计算关系,以及行为经济学理论和概念的计算应用。

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