首页> 外文期刊>Asia-Pacific Journal of Operational Research >STOCHASTIC DYNAMIC PROGRAMMING FOR ELECTION TIMING: A GAME THEORY APPROACH
【24h】

STOCHASTIC DYNAMIC PROGRAMMING FOR ELECTION TIMING: A GAME THEORY APPROACH

机译:选举时序的随机动态规划:一种博弈论方法

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper, we consider dynamic programming for the election timing in the majoritar-ian parliamentary system such as in Australia, where the government has a constitutional right to call an early election. This right can give the government an advantage to remain in power for as long as possible by calling an election, when its popularity is high. On the other hand, the opposition's natural objective is to gain power, and it will apply controls termed as "boosts" to reduce the chance of the government being re-elected by introducing policy and economic responses. In this paper, we explore equilibrium solutions to the government, and the opposition strategies in a political game using stochastic dynamic programming. Results are given in terms of the expected remaining life in power, call and boost probabilities at each time at any level of popularity.
机译:在本文中,我们考虑针对多数多数派议会制(例如澳大利亚)中的选举时机进行​​动态规划,澳大利亚政府拥有宪法规定的提前选举权。这项权利可以给政府带来优势,使其在人民享有很高声望的情况下通过举行选举来尽可能长地保持执政。另一方面,反对派的自然目标是获得政权,并将采用被称为“助推器”的控制措施,以通过采取政策和经济对策来减少再次当选政府的机会。在本文中,我们使用随机动态规划探索了政府的均衡解决方案以及政治游戏中的反对策略。结果以在任何受欢迎程度下每次的预期剩余功率,通话和增强概率剩余寿命给出。

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