Scholarlink

Adversarial risk analysis (ARA) provides decision-theoretic arguments to manage uncertainty in competitive decision-making environments. This paper introduces efficient algorithmic approaches to approximate ARA solutions in multi-stage games, covering both sequential and simultaneous settings, through augmented probability simulation. Two examples concerning international piracy and air combat illustrate the proposed methodology.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Algorithmic Decision Analysis for Multi-stage Games with Incomplete Information

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • J. M. Camacho,
  • Roi Naveiro,
  • David Ríos Insua

摘要

Adversarial risk analysis (ARA) provides decision-theoretic arguments to manage uncertainty in competitive decision-making environments. This paper introduces efficient algorithmic approaches to approximate ARA solutions in multi-stage games, covering both sequential and simultaneous settings, through augmented probability simulation. Two examples concerning international piracy and air combat illustrate the proposed methodology.