This preview shows pages 1–3. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: Section 3: von NeumannMorgenstern, Mixed Strategies and Lots of Fun! Daniel Egel September 24, 2008 1 von NeumannMorgenstern von NeumannMorgenstern expected utility , which I will just call vNM, is a way of dealing with uncertainty over outcomes. It is discussed in Chapter 27 of Dutta (1999) though I would recom mend skipping subsection 27.2.2 for the time being...and perhaps altogether. Ill go through a quick discussion of the essential concepts and then well look at some examples. Decision under certainty: So this is not the vNM world. But before we talk about un certainty its probably good to talk about certainty. Certainty means that we know what the outcomes are going to look like so we dont need to deal with probabilities. We are often going to work with utility functions. Utility functions should be an in creasing function of payoffs. i.e. More is better. For the rest of what follows we will be talking about uncertainty, where a variety of different outcomes are possible with known probabilities. Expected Value: This is amount of value that one can expect from playing a game/lottery. This is very important and not necessarily intuitive. But if we have a lottery with N possible outcomes X 1 ,X 2 ...X N , with probability of P 1 ,P 2 ...P N then the expected value is EV = P 1 X 1 + P 2 X 2 + ...P N X N Question: What is the expected value of a game where you win 10 with probability 1 3 , 20 with probability 1 3 and zero with probability 1 3 ? Expected Utility: Given some sort of utility function, U ( X ), this is the utility that can be expected from playing the game. Using the game with N outcomes from directly above, EU = P 1 U ( X 1 ) + P 2 U ( X 2 ) + ...P N U ( X N ) We there are three kinds of attitudes towards risk. Intuitively they are 1. Risk Averse: You are worse off from experiencing risk. EU < EV 2. Risk Neutral: Risk doesnt bother you. EU = EV 1 3.3....
View
Full
Document
This note was uploaded on 12/25/2010 for the course PO 137 taught by Professor Power during the Fall '10 term at University of California, Berkeley.
 Fall '10
 Power

Click to edit the document details