Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Revised 13th Edition>

Instance

Suppose that two companies are the only manufacturers of a particular product; they compete against each other for market share. In planning a marketing strategy for the coming year, each company will select one of three strategies designed to take market share from the other company. The three strategies, which are assumed to be the same for both companies, are as follows:

Strategy 1: Increase advertising.

Strategy 2: Provide quantity discounts.

Strategy 3: Extend warranty.

A payoff table showing the percentage gain in the market share for Company A for each combination of strategies is shown in Table 5.5.

Doing so, Company A identifies the minimum payoff for each of its strategies, which is the minimum value in each row of the payoff table. These row minimums are shown in Table 5.6.

After comparing the row minimum values, Company A selects the strategy that provides the maximum of the row minimum values. This is called a maximin strategy. Thus, Company A selects strategy a1 as its optimal strategy; an increase in market share of at least 2% is guaranteed.

Considering the entries in the Column Maximum row, Company B can be guaranteed a decrease in market share of no more than 2% by selecting the strategy b3. This is called a minimax strategy. Thus, Company B selects b3 as its optimal strategy. Company B has guaranteed that Company A cannot gain more than 2% in market share.

Let us continue with the two-company market-share game and consider a slight modification in the payoff table as shown in Table 5.8. Only one payoff has changed.

Because these values are not equal, a pure strategy solution does not exist. In this case, it is not optimal for each company to be predictable and select a pure strategy regardless of what the other company does. The optimal solution is for both players to adopt a mixed strategy.

With a mixed strategy, each player selects its strategy according to a probability distribution.Weighting each payoff by its probability and summing provides the expected value of the increase in market share for Company A.

Company A will select one of its three strategies based on the following probabilities:
PA1 = the probability that Company A selects strategy a1
PA2 =  the probability that Company A selects strategy a2
PA3 = the probability that Company A selects strategy a3

Given the probabilities PA1, PA2, and PA3 and the expected gain expressions in Table 5.9, game theory assumes that Company B will select a strategy that provides the minimum expected gain for Company A. Thus, Company B will select b1, b2, or b3 based on
Min {EG(b1), EG(b2), EG(b3)}
When Company B selects its strategy, the value of the game will be the minimum expected gain. This strategy will minimize Company A’s expected gain in market share. Company A will select its optimal mixed strategy using a maximin strategy, which will maximize the minimum expected gain. This objective is written as follows:

Define GAINA to be the optimal expected gain in market share for Company A.

Now consider the game from the point of view of Company B. Company B will select one of its strategies based on the following probabilities:
PB1 = the probability that Company B selects strategy b1
PB2 = the probability that Company B selects strategy b2
PB3 = the probability that Company B selects strategy b3

The expression for the expected loss in market share for Company B for each Company A strategy is provided in Table 5.10.

Company A will select a1, a2, or a3 based on
Max {EL(a1), EL(a2), EL(a3)}
When Company A selects its strategy, the value of the game will be the expected loss, which will maximize Company B’s expected loss in market share. Company B will select its optimal mixed strategy using a minimax strategy to minimize the maximum expected loss. This objective is written as follows:

Define LOSSB to be the optimal expected loss in market share for Company B.

Lingo 做线性规划 - Game Thoery的更多相关文章

  1. Lingo 做线性规划 - Asset allocation and Portfolio models

    Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Rev ...

  2. Lingo 做线性规划 - Revenue Management

    Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Rev ...

  3. Lingo 做线性规划 - DEA

    Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Rev ...

  4. Lingo 做线性规划 - Operation Management Applications

    Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Rev ...

  5. Lingo 做线性规划 - Financial Applications

    Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Rev ...

  6. Lingo 做线性规划 - Marketing Applications

    Reference: <An Introduction to Management Science Quantitative Approaches to Decision Making, Rev ...

  7. Lingo求解线性规划案例4——下料问题

    凯鲁嘎吉 - 博客园 http://www.cnblogs.com/kailugaji/ 造纸厂接到定单,所需卷纸的宽度和长度如表 卷纸的宽度 长度 5 7 9 10000 30000 20000 工 ...

  8. Lingo求解线性规划案例1——生产计划问题

    凯鲁嘎吉 - 博客园 http://www.cnblogs.com/kailugaji/ 说明: Lingo版本:                            某工厂明年根据合同,每个季度末 ...

  9. Lingo求解线性规划案例3——混料问题

    凯鲁嘎吉 - 博客园 http://www.cnblogs.com/kailugaji/  某糖果厂用原料A.B和C按不向比率混合加工而成甲.乙.丙三种糖果(假设混合加工中不损耗原料).原料A.B.C ...

随机推荐

  1. 循序渐进Python3(四) -- 装饰器、迭代器和生成器

    初识装饰器(decorator ) Python的 decorator 本质上就是一个高阶函数,它接收一个函数作为参数,然后,返回一个新函数. 使用 decorator 用Python提供的 @ 语法 ...

  2. 通过底层AVR方法实现SPI数据传输

    主机端: /********************************* 代码功能:通过底层AVR方法实现SPI数据传输(主机端) 创作时间:2016*10*17 使用资源: 更低阶的 aTme ...

  3. android中5大布局

    Android布局也可以用HTML5做,但是用户体验性差 Android布局里XML的属性配置 1. 五种Layout中Item的基础属性: layout_width & layout_hei ...

  4. jsp学习---css基础知识学习,float,position,padding,div,margin

    1.常用页面布局 效果图: 代码: <!DOCTYPE html> <html> <head> <meta charset="UTF-8" ...

  5. python-->基础-->004-->迭代器

    http://blog.chinaunix.net/uid-23500957-id-3990473.html http://www.cnblogs.com/vamei/archive/2012/07/ ...

  6. Java 技术体系图

    Java 程序员 高级特性 反射.泛型.注释符.自动装箱和拆箱.枚举类.可变 参数.可变返回类型.增强循环.静态导入 核心编程 IO.多线程.实体类. 集合类.正则表达式. XML 和属性文件 图形编 ...

  7. Maven重复类的解决

    1. 设置仓库,我的Settings里设置使用了公司的Nexus <?xml version="1.0"?> <settings xmlns="http ...

  8. XE3随笔6:SuperObject 的 JSON 对象中还可以包含 "方法"

    SuperObject 的 JSON 对象中还可以包含 "方法", 这太有意思了; 其方法的格式是: procedure Method(const This, Params: IS ...

  9. Daily Scrum 12.2

    今日完成任务: 完成数据库文档说明:整理数据库(没整理完),明天继续:文档功能的修改以及在服务器上测试 明日任务: 黎柱金 整理数据库 孙思权 整理数据库 晏旭瑞 文档上传下载功能 冯飘飘 修复问题提 ...

  10. cocos2d-x之内存管理(4)

    c++的内存管理一直以来都是个问题,也有多种实现方案,比如智能指针,使用引用计数等,cocos2d-x也需要涉及到内存的管理. cocos2d-x是如何管理内存的呢? cocos2d-x的内存管理主要 ...