Reading Robert Gibbons, A Primer in Game Theory, Harvester Wheatsheaf 1992.

Similar documents
EC3224 Autumn Lecture #02 Nash Equilibrium

Introduction Economic Models Game Theory Models Games Summary. Syllabus

NORMAL FORM (SIMULTANEOUS MOVE) GAMES

Game Theory. Wolfgang Frimmel. Dominance

Game Theory ( nd term) Dr. S. Farshad Fatemi. Graduate School of Management and Economics Sharif University of Technology.

Computational Methods for Non-Cooperative Game Theory

THEORY: NASH EQUILIBRIUM

Normal Form Games: A Brief Introduction

Advanced Microeconomics (Economics 104) Spring 2011 Strategic games I

Introduction to Game Theory. František Kopřiva VŠE, Fall 2009

Domination Rationalizability Correlated Equilibrium Computing CE Computational problems in domination. Game Theory Week 3. Kevin Leyton-Brown

Note: A player has, at most, one strictly dominant strategy. When a player has a dominant strategy, that strategy is a compelling choice.

Introduction to Game Theory

Chapter 13. Game Theory

ECO 220 Game Theory. Objectives. Agenda. Simultaneous Move Games. Be able to structure a game in normal form Be able to identify a Nash equilibrium

Introduction to Game Theory I

1\2 L m R M 2, 2 1, 1 0, 0 B 1, 0 0, 0 1, 1

Games. Episode 6 Part III: Dynamics. Baochun Li Professor Department of Electrical and Computer Engineering University of Toronto

DECISION MAKING GAME THEORY

Basic Game Theory. Economics Auction Theory. Instructor: Songzi Du. Simon Fraser University. September 7, 2016

[ Game Theory ] A short primer

Microeconomics of Banking: Lecture 4

Lecture 6: Basics of Game Theory

LECTURE 26: GAME THEORY 1

Finite games: finite number of players, finite number of possible actions, finite number of moves. Canusegametreetodepicttheextensiveform.

Appendix A A Primer in Game Theory

Economics 201A - Section 5

Game Theory. Vincent Kubala

Game Theory. Department of Electronics EL-766 Spring Hasan Mahmood

Multi-player, non-zero-sum games

Non-Cooperative Game Theory

CSC304 Lecture 2. Game Theory (Basic Concepts) CSC304 - Nisarg Shah 1

UPenn NETS 412: Algorithmic Game Theory Game Theory Practice. Clyde Silent Confess Silent 1, 1 10, 0 Confess 0, 10 5, 5

Game Theory. Vincent Kubala

Introduction to Game Theory

Introduction to Game Theory

Lecture #3: Networks. Kyumars Sheykh Esmaili

CMU-Q Lecture 20:

CMU Lecture 22: Game Theory I. Teachers: Gianni A. Di Caro

ECO 199 B GAMES OF STRATEGY Spring Term 2004 B February 24 SEQUENTIAL AND SIMULTANEOUS GAMES. Representation Tree Matrix Equilibrium concept

Game Theory. Wolfgang Frimmel. Subgame Perfect Nash Equilibrium

Game Theory: The Basics. Theory of Games and Economics Behavior John Von Neumann and Oskar Morgenstern (1943)

CHAPTER LEARNING OUTCOMES. By the end of this section, students will be able to:

CS510 \ Lecture Ariel Stolerman

1. Simultaneous games All players move at same time. Represent with a game table. We ll stick to 2 players, generally A and B or Row and Col.

Evolutionary Game Theory and Linguistics

February 11, 2015 :1 +0 (1 ) = :2 + 1 (1 ) =3 1. is preferred to R iff

Game theory. Logic and Decision Making Unit 2

Resource Allocation and Decision Analysis (ECON 8010) Spring 2014 Foundations of Game Theory

CSCI 699: Topics in Learning and Game Theory Fall 2017 Lecture 3: Intro to Game Theory. Instructor: Shaddin Dughmi

Dominance and Best Response. player 2

final examination on May 31 Topics from the latter part of the course (covered in homework assignments 4-7) include:

Game Theory. Lecture Notes By Y. Narahari. Department of Computer Science and Automation Indian Institute of Science Bangalore, India August 2012

Lecture 11 Strategic Form Games

EconS Game Theory - Part 1

Homework 5 Answers PS 30 November 2013

Solution Concepts 4 Nash equilibrium in mixed strategies

ECO 463. SimultaneousGames

Basics of Game Theory

Normal Form Games. Here is the definition of a strategy: A strategy is a complete contingent plan for a player in the game.

Dominant and Dominated Strategies

International Economics B 2. Basics in noncooperative game theory

First Prev Next Last Go Back Full Screen Close Quit. Game Theory. Giorgio Fagiolo

ECON 282 Final Practice Problems

Introduction to (Networked) Game Theory. Networked Life NETS 112 Fall 2016 Prof. Michael Kearns

Introduction to IO. Introduction to IO

CPS 570: Artificial Intelligence Game Theory

ECO 5341 Strategic Behavior Lecture Notes 3

Mixed Strategies; Maxmin

Summary Overview of Topics in Econ 30200b: Decision theory: strong and weak domination by randomized strategies, domination theorem, expected utility

FIRST PART: (Nash) Equilibria

Multiagent Systems: Intro to Game Theory. CS 486/686: Introduction to Artificial Intelligence

ESSENTIALS OF GAME THEORY

1. Introduction to Game Theory

Introduction to Game Theory

Game theory Computational Models of Cognition

ECON 312: Games and Strategy 1. Industrial Organization Games and Strategy

Sequential Games When there is a sufficient lag between strategy choices our previous assumption of simultaneous moves may not be realistic. In these

Introduction to Game Theory

GAME THEORY: STRATEGY AND EQUILIBRIUM

Multiagent Systems: Intro to Game Theory. CS 486/686: Introduction to Artificial Intelligence

Chapter 2 Basics of Game Theory

(a) Left Right (b) Left Right. Up Up 5-4. Row Down 0-5 Row Down 1 2. (c) B1 B2 (d) B1 B2 A1 4, 2-5, 6 A1 3, 2 0, 1

Introduction: What is Game Theory?

Section Notes 6. Game Theory. Applied Math 121. Week of March 22, understand the difference between pure and mixed strategies.

Game Theory and Randomized Algorithms

Rationality, Dominance and Best Response

Introduction to (Networked) Game Theory. Networked Life NETS 112 Fall 2014 Prof. Michael Kearns

3 Game Theory II: Sequential-Move and Repeated Games

Lecture 3: Nash Equilibrium

Chapter 3 Learning in Two-Player Matrix Games

Econ 302: Microeconomics II - Strategic Behavior. Problem Set #5 June13, 2016

Chapter 15: Game Theory: The Mathematics of Competition Lesson Plan

4. Game Theory: Introduction

Extensive Games with Perfect Information A Mini Tutorial

DYNAMIC GAMES. Lecture 6

Nash Equilibrium. Felix Munoz-Garcia School of Economic Sciences Washington State University. EconS 503

Minmax and Dominance

Multiagent Systems: Intro to Game Theory. CS 486/686: Introduction to Artificial Intelligence

Game Theory and the Environment. Game Theory and the Environment

Transcription:

Reading Robert Gibbons, A Primer in Game Theory, Harvester Wheatsheaf 1992. Additional readings could be assigned from time to time. They are an integral part of the class and you are expected to read them. 1

Structure of the course Normal Form Games and Nash Equilibrium, Economic applications Dynamic games of complete information, either with perfect of imperfect information. Repeated games. Economic applications. Static and dynamic games of incomplete information. Economic applications. 2

Basic Theory, Normal Form Games and Iterated dominance

Game Theory - Motivation Game Theory is a tool to understand situations in which two or more decision-makers interact. Outcomes of (economic) decisions frequently depend on others actions effect of price policy depends on competitors outcome of wage negotiations depends on choices of both sides outcome of elections depends on others votes

Decision makers should thus take expectations of others decisions into account Such situations are plausibly modeled as a game, a model of interactions where the outcome depends on others as well as one s own actions this definition and the scope of game theory is much broader than the everyday definition of a game e.g., game theory is not only concerned with winning a competitive game

Useful Definitions A fact F is common knowledge if: Each player know F Each player knows that the others know F Each player knows that the every other players knows that each player know F And so on A player is rational if he select the action that leads to the outcome he most prefers (or he is maximizing his expected utility) Beliefs: player s assessment about the behaviour of the others in the game

Classification of Games According to the timing Static games (or simultaneous move game): Actions are taken simultaneously (i.e. without information about others moves) Normal form representation Dynamic games (or sequential games): Actions are taken in according a sequence extensive form representation

Information, complete versus incomplete: Complete information: each player s payoff function is common knowledge Incomplete information: some player is uncertain about another player s payoff function. Information, perfect versus imperfect Perfect information: when players have to move, they know the full history of play of the game Imperfect information: some player has to move without knowing the full history of the play of the game

Normal form representation A normal form specifies: 1. the agents in the game, 2. for each agent a set of available actions (or strategies): S i denotes the set of strategies available to player i and s i is an element of S i 3. The payoff received by each player for each combination of strategies. u i (s 1 s i s n ) denotes the payoff function of player i where (s 1 s i s n ) are the actions chosen by the players G = {S 1,.. S n ; u 1 u n }

Example 1: the Prisoner s Dilemma Static games sometime can be represented using tables Not confess Confess Player 1 Not confess -1, -1-9, 0 Confess 0, -9-6, -6 This game captures many situations where players prefer to defect, but prefer both to cooperate over both to defect

Example 2: the Battle of the Sexes Ball Theatre Player 1 Ball 2,1 0,0 Theatre 0,0 1,2 This game captures many situations where players agree that they want to coordinate but disagree about the action to coordinate on.

Example 3: Matching Pennies Head Tail Player 1 Head 1,-1-1,1 Tail -1,1 1,-1 Player 1 wants both to choose the same action, player 2 to choose different actions. This is an example of a strictly competitive game,

Example 4: Stag-Hunt Stag Hare Player 1 Stag 2,2 0,1 Hare 1,0 1,1 Stag-Hunt models situation where players have a common interest to cooperate, but may want to play a safe strategy if they are not sure whether the other will cooperate

Iterated elimination of strictly dominated strategies Example: Prisoner Dilemma Not confess Confess Player 1 Not confess -1, -1-9, 0 Confess 0, -9-6, -6 If player 2 is going to play Not confess, then player 1 prefer Confess If player 2 is going to play Confess, then player 1 prefer Confess Player 1 prefers Confess in both cases We say that for player 1 playing Not confess is dominated by playing Confess

Definition of dominated strategy s i ' is strictly dominated by s i if: u i (s i, s -i ) > u i (s i ', s -i ) for each feasible combination of other players strategies (s -i ) Note: 1) rational players do not play strictly dominated strategies (because a strictly dominated strategy is not optimal for all possible beliefs) 2) s i ' is dominated by s i if: u i (s i, s -i ) u i (s i ', s -i )

Example 1 L R T 2,3 5,0 Player 1 M 3,2 1,1 B 1,0 4,1 L R T 2,3 5,0 Player 1 M 3,2 1,1

L R T 2,3 5,0 Player 1 M 3,2 1,1 L T 2,3 Player 1 M 3,2 L Player 1 M 3,2

This process is called iterated elimination of strictly dominated strategies (or iterated dominance) The strategies that survive iterated dominance is called rationalizable strategies It is based on the idea that rational players do not play dominated strategies Two problems: This process requires that it is common knowledge that player are rational This process often produces no accurate predictions (see the following example)

Example 2 L C R T 2,3 2,2 5,0 Player 1 Y 3,2 5,3 3,1 Z 4,3 1,1 2,2 3 B 1,2 0,1 4,4 1 2

Definition of Best Response The Best Response of a player is his preferred action given the strategies played by the other players. Consider the n-player normal form game G = S 1,.. S n ; u 1 u n The best response of player i to the strategies s -i = (s 1,, s i 1, s i+1, s n ) solves the following problem: max u(s 1,, s i,, s n ) s i S i

Nash Equilibrium It is a prediction about the strategy each player will choose This prediction is correct if each player s predicted strategy is a best response to the predicted strategies of the other players. Such prediction is strategically stable or self enforcing: no player wants to change his/her predicted strategy We call such a prediction a Nash Equilibrium.

Definition of Nash Equilibrium Consider the n-player normal form game G = {S 1,.. S n ; u 1 u n } The strategy profile s 1,, s n is a Nash equilibrium if: for every player i and every action s i S i : u i s 1,, s i,, s n u i s 1,, s i,, s n The strategy profile s 1,, s n is a Strict Nash equilibrium if: for every player i and every action s i S i : u i s 1,, s i,, s n > u i s 1,, s i,, s n

Note 1. in a Nash equilibrium there are no players that want to deviate 2. s i solves the following problem: max u i s 1,, s i,, s n s i S i 3. in a Nash equilibrium, each player strategy is a best response to the other players' strategies

Example 1: the Prisoner s Dilemma C(ooperate) D(efect) Player 1 C(ooperate) 2,2 0,3 D(efect) 3,0 1,1 The unique Nash equilibrium is (D,D) For every other profile, at least one player wants to deviate

Example 2: the Battle of the Sexes Ball Theatre Player 1 Ball 2,1 0,0 Theatre 0,0 1,2 There are two Nash equilibria: (Ball, Ball) and (Theatre, Theatre)

Example 3: Matching Pennies Head Tail Player 1 Head 1,-1-1,1 Tail -1,1 1,-1 There is no Nash equilibrium (of the game with ordinal preferences)

Example 4: Stag-Hunt Stag Hare Player 1 Stag 2,2 0,1 Hare 1,0 1,1 There are two equilibria: (Stag, Stag) and (Hare, Hare)