HW Review Suppose a game has a payoff matrix of: Calculate the expected values for the following strategy: R WinsProb a)Prob b)Prob c)Prob d) R1, C111*.5=.5.3*.4=.120*.4=0.1*.2=.02.

Slides:



Advertisements
Similar presentations
Section 13-4: Matrix Multiplication
Advertisements

Game Theory Assignment For all of these games, P1 chooses between the columns, and P2 chooses between the rows.
Mixed Strategies For Managers
A Beautiful Game John C. Sparks AFRL/WS (937) Wright-Patterson Educational Outreach The Air Force Research Laboratory.
Game Theory “I Used to Think I Was Indecisive - But Now I’m Not So Sure” - Anonymous Mike Shor Lecture 5.
MIT and James Orlin © Game Theory 2-person 0-sum (or constant sum) game theory 2-person game theory (e.g., prisoner’s dilemma)
1 Demand for Health Insurance. 2 Which Investment will you pick Expected Value $2600 Choice 2 $5000 -$ Choice 1 $5000 $
Game Theory, Part 1 Game theory applies to more than just games. Corporations use it to influence business decisions, and militaries use it to guide their.
9.2 Mixed Strategies Two players, Robert and Carol, play a game with payoff matrix (to Robert): Is the game strictly determined? Why? Robert has strategy:
Part 3: The Minimax Theorem
Section 1.1, Slide 1 Copyright © 2014, 2010, 2007 Pearson Education, Inc. Section 13.4, Slide 1 13 Probability What Are the Chances?
Todd and Steven Divide the Estate Problem Bargaining over 100 pounds of gold Round 1: Todd makes offer of Division. Steven accepts or rejects. Round.
Chapter Twenty-Eight Game Theory. u Game theory models strategic behavior by agents who understand that their actions affect the actions of other agents.
An introduction to game theory Today: The fundamentals of game theory, including Nash equilibrium.
Social Learning. A Guessing Game Why are Wolfgang Puck restaurants so crowded? Why do employers turn down promising job candidates on the basis of rejections.
Spreadsheet Demonstration Investment Simulation. 2 Investment simulation Winston 12.4  Mary Higgins is a freelance writer with enough spare time on her.
An introduction to game theory Today: The fundamentals of game theory, including Nash equilibrium.
Click Here to Begin the Game CHOICE 1CHOICE 2CHOICE 3 CHOICE CHOICE
Signaling games. consider two firms –Oldstar ( old, set in the market) –Nova (new) if fight happens,oldstar can beat weak nova but not the strong, the.
Section 8.3 – Systems of Linear Equations - Determinants Using Determinants to Solve Systems of Equations A determinant is a value that is obtained from.
Section 1.1, Slide 1 Copyright © 2014, 2010, 2007 Pearson Education, Inc. Section 13.4, Slide 1 13 Probability What Are the Chances?
Bell Work (7 minutes).
Section 5.2 Random Variables.
Homeowners Insurance Premium pp SECTION.
Bayes-Nash equilibrium with Incomplete Information.
16.6 Expected Value.
Section 13.4 Expected Value. Objectives 1. Compute expected value. 2. Use expected value to solve applied problems. 3. Use expected value to determine.
The Design & Analysis of the Algorithms Lecture by me M. Sakalli Download two pdf files..
Using Mathematics to Solve Everyday Problems Lesson 3 & 4 TEKS 6.11A/B.
Explore Compound Interest
Game Theory, Part 2 Consider again the game that Sol and Tina were playing, but with a different payoff matrix: H T Tina H T Sol.
Probability Evaluation 11/12 th Grade Statistics Fair Games Random Number Generator Probable Outcomes Resources Why Fair Games? Probable Outcome Examples.
When dealing with a model, we use the letter  for the mean. We write or, more often, replacing p by, Instead of , we can also write E(X ). ( Think of.
Chapter 2 Lesson 2.4 Collecting Data Sensibly 2.4: More on Experimental Design.
Properties of the Binomial Probability Distributions 1- The experiment consists of a sequence of n identical trials 2- Two outcomes (SUCCESS and FAILURE.
GAME THEORY Day 5. Minimax and Maximin Step 1. Write down the minimum entry in each row. Which one is the largest? Maximin Step 2. Write down the maximum.
1 Systems Analysis Methods Dr. Jerrell T. Stracener, SAE Fellow SMU EMIS 5300/7300 NTU SY-521-N NTU SY-521-N SMU EMIS 5300/7300 Utility Theory Applications.
9.2 Mixed Strategy Games In this section, we look at non-strictly determined games. For these type of games the payoff matrix has no saddle points.
= the matrix for T relative to the standard basis is a basis for R 2. B is the matrix for T relative to To find B, complete:
By: Donté Howell Game Theory in Sports. What is Game Theory? It is a tool used to analyze strategic behavior and trying to maximize his/her payoff of.
BUS 401 Week 1 Quiz Check this A+ tutorial guideline at NEW/BUS-401-Week-1-Quiz 1.The financial goal of a for-profit.
DBM 384 Week 1 Assignment Database Matrix Check this A+ tutorial guideline at 384/DBM-384-Week-1-Assignment-Database-
ECO 370 Week 4 Individual Assignment Policy Implications and Evaluation Matrix Choose a local government and a national government on which to focus your.
ETH 316 Week 3 Individual Organizational Issues Check this A+ tutorial guideline at 316-Week-3-Individual-Organizational-Issues.
Q 2.1 Nash Equilibrium Ben
Mixed Strategies Keep ‘em guessing.
CLOSE Please YOUR LAPTOPS, and get out your note-taking materials.
Monthly Apartment Costs
SECTION 10-7 Homeowners Insurance Premium pp
An introduction to game theory
Simultaneous-Move Games: Mixed Strategies
MKT 327 Enthusiastic Studysnaptutorial.com
FIN 420 TUTORIALS Perfect Education/ fin420tutorials.com.
Chapter 6 Game Theory (Module 4) 1.
Game Theory Solutions 1 Find the saddle point for the game having the following payoff table. Use the minimax criterion to find the best strategy for.
Fractions.
Hosted by Ms. Vaughn.
Hosted by Ms. Vaughn.
Hosted by Ms. Vaughn.
Hosted by Ms. Vaughn.
9.3 Linear programming and 2 x 2 games : A geometric approach
Hosted by Ms. Vaughn.
Hosted by Ms. Vaughn.
$100 $300 $100 $400 $100 $300 $200 $100 $100 $200 $500 $200 $500 $200 $300 $200 $500 $300 $500 $300 $400 $400 $400 $500 $400.
Mixed Numbers Equivalent Simplest Form Comparing
Hosted by Mrs. Fowler.
What’s your nationality? Where are you from?
Hosted by Ms. Vaughn.
Presentation transcript:

HW Review Suppose a game has a payoff matrix of: Calculate the expected values for the following strategy: R WinsProb a)Prob b)Prob c)Prob d) R1, C111*.5=.5.3*.4=.120*.4=0.1*.2=.02 R1, C201*.4=.4.3*.4=.120*0=0.1*.2=.02 R1, C321*.1=.1.3*.2=.060*.6=0.1*.6=.06 R2, C10*.5=0.3*.4=.12.5*.4=.2.1*.2=.02 R2, C220*.4=0.3*.4=.12.5*0=0.1*.2=.02 R2, C300*.1=0.3*.2=.06.5*.6=.3.1*.6=.06 R3, C100*.5=0.4*.4=.16.5*.4=.2.8*.2=.16 R3, C20*.4=0.4*.4=.16.5*0=0.8*.2=.16 R3, C30*.1=0.4*.2=.08.5*.6=.3.8*.6=.48

9.2 Mixed Strategies The Acme Chemical Corporation has two plants. A single inspector is assigned to check that the plants do not dump waste into the river. If he discovers plant A dumping waste, Acme is fined $20,000. If he discovers plant B dumping waste, Acme is fined $50,000. Suppose the inspector visits one of the pants each day and he chooses, on a random basis to visit plant B 60% of the time. Acme schedules dumping from its two plants on a random basis, one plant per day, with plant B dumping waste on 70% of the days. How much is Acme’s average fine per day? Write a payoff matrix Write the mixed strategies. Find the expected value. OutcomeR WinsProbability Row 1, Col 1 Row 1, Col 2 Row 2, Col 1 Row 2, Col 2

9.2 Mixed Strategies A small business owner must decide whether to carry flood insurance. She may insure her business for: $2 million for $100,000 $1 million for $50,000 or $.5 million for $30,000. Her business is worth $2 million. There is a flood serious enough to destroy her business an average of every 10 years. In order to save insurance premiums, she decides each year on a probabilistic basis how much insurance to carry. She chooses: $2 million 20% of the time $1 million 20% of the time $.5 million 20% of the time No insurance 40% of the time What is her average annual loss? Write a payoff matrix in terms of millions Write the mixed strategies. Find the expected value.

9.2 Mixed Strategies Problems to complete from section 9.2 – Pg. 452 #3, 4