Rejoinder to the Discussion of 'Adversarial risk analysis: Borel games'

被引：0

作者：

Banks, David ^{[1
]}

Petralia, Francesca ^{[1
]}

Wang, Shouqiang ^{[2
]}

机构：

[1] Duke Univ, Dept Stat Sci, Durham, NC 27706 USA

[2] Duke Univ, Fuqua Sch Business, Durham, NC 27706 USA

来源：

APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY | 2011年 / 27卷 / 02期

基金：

美国国家科学基金会;

关键词：

Bayesian; Borel game; game theory;

D O I：

10.1002/asmb.891

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

Adversarial risk analysis (ARA) offers a new solution concept in game theory. This paper explores its application to a range of simple gambling games, enabling comparison with minimax solutions for similar problems. We find that ARA has several attractive advantages: it is easier to compute, it takes account of asymmetric information, it corresponds better to human behavior, and it reduces to previous solutions in appropriate circumstances. Copyright (C) 2011 John Wiley & Sons, Ltd.

引用

页码：92 / 94

页数：3

共 26 条

[1]

Banks D., 2006, STAT METHODS COUNTER, P9

[2] SOME 2-PERSON GAMES INVOLVING BLUFFING [J].