Introduction to Game Theory Lecture Note 2: Strategic-Form Games and Nash Equilibrium (2)

Similar documents
EC3224 Autumn Lecture #03 Applications of Nash Equilibrium

Game Theory for Linguists

ANSWER KEY 2 GAME THEORY, ECON 395

C31: Game Theory, Lecture 1

Game Theory and Algorithms Lecture 2: Nash Equilibria and Examples

Economics 3012 Strategic Behavior Andy McLennan October 20, 2006

Static (or Simultaneous- Move) Games of Complete Information

Game Theory. Professor Peter Cramton Economics 300

Advanced Microeconomics

Iterated Strict Dominance in Pure Strategies

Repeated Downsian Electoral Competition

EconS Nash Equilibrium in Games with Continuous Action Spaces.

Game theory lecture 4. September 24, 2012

6.207/14.15: Networks Lecture 24: Decisions in Groups

Introduction to Game Theory

SF2972 Game Theory Exam with Solutions March 15, 2013

Political Economy of Institutions and Development: Problem Set 1. Due Date: Thursday, February 23, in class.

MS&E 246: Lecture 12 Static games of incomplete information. Ramesh Johari

Oligopoly. Molly W. Dahl Georgetown University Econ 101 Spring 2009

Political Economy of Institutions and Development. Lectures 2 and 3: Static Voting Models

Game Theory Fall 2003

Game Theory DR. ÖZGÜR GÜRERK UNIVERSITY OF ERFURT WINTER TERM 2012/13. Strict and nonstrict equilibria

Multiple Equilibria in the Citizen-Candidate Model of Representative Democracy.

Intro Prefs & Voting Electoral comp. Political Economics. Ludwig-Maximilians University Munich. Summer term / 37

Microeconomics for Business Practice Session 3 - Solutions

UNIVERSITY OF MARYLAND Department of Economics Economics 754 Topics in Political Economy Fall 2005 Allan Drazen. Exercise Set I

Basics of Game Theory

University of Warwick, Department of Economics Spring Final Exam. Answer TWO questions. All questions carry equal weight. Time allowed 2 hours.

UC Berkeley Haas School of Business Game Theory (EMBA 296 & EWMBA 211) Summer 2016

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

Industrial Organization Lecture 3: Game Theory

Classic Oligopoly Models: Bertrand and Cournot

Mathematical Economics - PhD in Economics

14.770: Introduction to Political Economy Lectures 1 and 2: Collective Choice and Voting

Lecture 1. Evolution of Market Concentration

Game Theory Review Questions

Introduction to game theory LECTURE 1

6.254 : Game Theory with Engineering Applications Lecture 13: Extensive Form Games

Msc Micro I exam. Lecturer: Todd Kaplan.

Industrial Organization, Fall 2011: Midterm Exam Solutions and Comments Date: Wednesday October

A Survey of Equilibrium Analysis in Spatial Models of Elections

1 Games in Normal Form (Strategic Form)

Algorithmic Game Theory. Alexander Skopalik

Theory of Auctions. Carlos Hurtado. Jun 23th, Department of Economics University of Illinois at Urbana-Champaign

Game Theory: introduction and applications to computer networks

Approval Voting: Three Examples

Quantum Games. Quantum Strategies in Classical Games. Presented by Yaniv Carmeli

Wireless Network Pricing Chapter 6: Oligopoly Pricing

Nash equilibrium in games with continuous action spaces

Nash equilibrium in games with continuous action spaces

3.3.3 Illustration: Infinitely repeated Cournot duopoly.

Bounded Rationality Lecture 2. Full (Substantive, Economic) Rationality

Mixed Refinements of Shapley s Saddles and Weak Tournaments

Recap Social Choice Fun Game Voting Paradoxes Properties. Social Choice. Lecture 11. Social Choice Lecture 11, Slide 1

Introduction to Game Theory. Outline. Topics. Recall how we model rationality. Notes. Notes. Notes. Notes. Tyler Moore.

1 Basic Game Modelling

Backwards Induction. Extensive-Form Representation. Backwards Induction (cont ) The player 2 s optimization problem in the second stage

Industrial Organization Lecture 7: Product Differentiation

Lecture 6 Games with Incomplete Information. November 14, 2008

On the influence of extreme parties in electoral competition with policy-motivated candidates

Game Theory. Wolfgang Frimmel. Perfect Bayesian Equilibrium

Normal-form games. Vincent Conitzer

The Importance of the Median Voter

Game Theory and Control

Ph.D. Preliminary Examination MICROECONOMIC THEORY Applied Economics Graduate Program May 2012

CSC304 Lecture 5. Game Theory : Zero-Sum Games, The Minimax Theorem. CSC304 - Nisarg Shah 1

Non-zero-sum Game and Nash Equilibarium

A (Brief) Introduction to Game Theory

6.207/14.15: Networks Lecture 11: Introduction to Game Theory 3

UC Berkeley Haas School of Business Game Theory (EMBA 296 & EWMBA 211) Summer Preliminaries. Block 1 May 19-20, 2016

Solutions to Exercises of Section III.1. a (13/4, 3) (22/4, 3/4). b (4, 10/4) (21/4, 2)

Variations on the Hotelling-Downs Model

Answer Key: Problem Set 3

SF2972 Game Theory Written Exam with Solutions June 10, 2011

Spatial Competition Between Two Candidates of Different Quality: The Effects of Candidate Ideology and Private Information 1

Lecture Note II-3 Static Games of Incomplete Information. Games of incomplete information. Cournot Competition under Asymmetric Information (cont )

Spring 2016 Network Science. Solution of Quiz I

Algorithmic Game Theory and Applications. Lecture 4: 2-player zero-sum games, and the Minimax Theorem

Bayesian Games and Mechanism Design Definition of Bayes Equilibrium

Trade policy III: Export subsidies

9 A Class of Dynamic Games of Incomplete Information:

Game Theory Correlated equilibrium 1

Game Theory. Monika Köppl-Turyna. Winter 2017/2018. Institute for Analytical Economics Vienna University of Economics and Business

Microeconomics II Lecture 4: Incomplete Information Karl Wärneryd Stockholm School of Economics November 2016

Weak Dominance and Never Best Responses

Wars of Attrition with Budget Constraints

Lecture 6: April 25, 2006

Computing Minmax; Dominance

Introduction to Formal Epistemology Lecture 5

6.891 Games, Decision, and Computation February 5, Lecture 2

Game Theory. 2.1 Zero Sum Games (Part 2) George Mason University, Spring 2018

Games of Elimination

Review of topics since what was covered in the midterm: Topics that we covered before the midterm (also may be included in final):

6.254 : Game Theory with Engineering Applications Lecture 8: Supermodular and Potential Games

Advanced Microeconomics

April 29, 2010 CHAPTER 13: EVOLUTIONARY EQUILIBRIUM

Game Theory and Evolution

EC3224 Autumn Lecture #04 Mixed-Strategy Equilibrium

On Renegotiation-Proof Collusion under Imperfect Public Information*

Selfishness vs Altruism vs Balance

Transcription:

Introduction to Game Theory Lecture Note 2: Strategic-Form Games and Nash Equilibrium (2) Haifeng Huang University of California, Merced

Best response functions: example In simple games we can examine each action profile in turn to see if it is a NE. In more complicated games it is better to use best response functions. Example: Player 2 L M R Player 1 T 1, 1 1, 0 0, 1 B 1, 0 0, 1 1, 0 What are player 1 s best response(s) when player 2 chooses L, M, or R?

Best response functions: definition Notation: B i (a i ) = {a i in A i : U i (a i, a i ) U i (a i, a i) for all a i in A i }. I.e., any action in B i (a i ) is at least as good for player i as every other action of player i when the other players actions are given by a i. Example: Player 2 L M R Player 1 T 1, 1 1, 0 0, 1 B 1, 0 0, 1 1, 0 B 1 (L) = {T, B}, B 1 (M) = {T }, B 1 (R) = {B}

Using best response functions to define Nash equilibrium Definition: the action/strategy profile a is a NE of a strategic game iff every player s action is a best response to the other players actions: ai is in B i (a i ) for every player i. If each player has a single best response to each list a i of the other players actions, then a i = b i (a i ) for every i.

Using best response functions to find Nash equilibrium Method: find the best response function of each player find the action profile in which each player s action is a best response to the other player s action Example: Player 2 L M R Player 1 T 1, 2 2, 1 1, 0 M 2, 1 0, 1 0, 0 B 0, 1 0, 0 1, 2

One more example Osborne (2004) exercise 39.1: Two people are involved in a synergistic relationship. If both devote more effort to the relationship, they are both better off. For any given effort of individual j, the return to individual i s effort first increases, then decreases. Specifically, an effort level is a non-negative number, and each individual i s preferences are represented by the payoff function u i = e i (c + e j e i ), where e i is i s effort level, e j is the other individual s effort level, and c > 0 is a constant.

Solving the example u i = e 2 i + (c + e j )e i, a quadratic function; inverted U-shape u i = 0 if e i = 0 or if e i = c + e j, so anything in between will give i a positive payoff Symmetry of quadratic functions means that b i (e j ) = 1 2 (c + e j) Similarly, b j (e i ) = 1 2 (c + e i) In equilibrium, therefore, e i = 1 2 (c + e j) and e j = 1 2 (c + e i); solving the two equations together yield that e i = e j = c.

Another example about cooperation Osborne (2004) exercise 42.2(b): Two people are engaged in a joint project. If each person i puts in effort x i, a non-negative number equal to at most 1, which costs her x i, each person will get a utility 4x 1 x 2. Find the NE of the game. Is there a pair of effort levels that yields higher payoffs for both players than do the NE effort levels?

Best response functions in graph

Oligopolistic competition: The Cournot model Two firms produce the same product. The unit cost of production is c. Let q i be firm i s output, Q = 2 i=1 q i, then the market price P is P(Q) = α Q, where α is a constant. Firms choose their output simultaneously. What is the NE? Each firm wants to maximize profit. Firm 1 s profit is π 1 = P(Q)q 1 cq 1 = (α q 1 q 2 )q 1 cq 1. Differentiate π 1 with respect to q 1, we know by the first order condition that firm 1 s optimal output (best response) is q 1 = b 1 (q 2 ) = α q 2 c 2 (1)

The Cournot model (cont.) Similarly (since the game is symmetric), firm 2 s optimal output is q 2 = b 2 (q 1 ) = α q 1 c 2 Solving equations (1) and (2) together, we have (2) q1 = q2 = 1 (α c). 3 If the two firms can collude, they would maximize PQ cq = (α Q)Q cq. The output would be Q = 1 2 (α c) < 2 3 (α c), and the market price would be α Q = α 1 2 (α c) > α 2 3 (α c). Competition (instead of collusion) increases total output, and reduces market price.

The strategic model of the war of attrition Examples: animals fighting over prey; interest groups lobbying against each other; countries fighting each other to see who will give up first... Model setup Two players, i and j, vying for an object, which is respectively worth v i and v j to the two players; a 50% chance of obtaining the object is respectivley worth v i 2 and v j 2. Time starts at 0 and runs indefinitely; each unit of time that passes before one of the parties concedes costs each player one unit of utility. So, a player i s utility is t i, if t i < t j ; 1 u i (t i, t j ) = 2 v i t j, if t i = t j ; v i t j, if t i > t j.

Best response function Player 2 s best response function is (orange) {t 2 : t 2 > t 1 }, if t 1 < v 2 ; B 2 (t 1 ) = {t 2 : t 2 = 0 or t 2 > t 1 }, if t 1 = v 2 ; {0}, if t 1 > v 2.

NE in war of attrition (t 1, t 2 ) is a NE iff t 1 = 0 and t 2 v 1, or t 2 = 0 and t 1 v 2. In equilibrium, either player may concede first, including the one who values the object more. The equilibria are asymmetric, even when v 1 = v 2 (i.e., when the game is symmetric). A game is symmetric if u 1 (a 1, a 2 ) = u 2 (a 2, a 1 ) for every action pair (a 1, a 2 ) (if you and your opponent exchange actions, you also exchange your payoffs).

A direct argument If t i = t j, then either player can increase her payoff by conceding slightly later and obtaining the object for sure; v i t i ɛ > 1 2 v i t i for a sufficiently small ɛ. If 0 < t i < t j, player i should rather choose t i = 0 to reduce the loss. If 0 = t i < t j < v i, player i can increase her payoff by conceding slightly after t j, but before t i = v i. The remaining case is t i = 0 and t j v i, which we can easily verify as a NE.

Domination Player i s action a i strictly dominates action a i if u i (a i, a i ) > u i (a i, a i ) for every list a i of the other players actions. In this case the action a i is strictly dominated. In Prisoner s Dilemma, confess strictly dominates silent. Suspect 2 silent confess silent 0, 0 2, 1 confess 1, 2 1, 1 If player i s action a i strictly dominates every other action of hers, then a i is i s strictly dominant action.

Elimination of strictly dominated action Not every game has a strictly dominated action. But if there is, it is not used in any Nash equilibrium and so can be eliminated. Any strictly dominated action in the following game? Any strictly dominant action? Player 2 L C R Player 1 U 7, 3 0, 4 4, 4 M 4, 6 1, 5 5, 3 D 3, 8 0, 2 3, 0 D is strictly dominated by M.

Iterated elimination of strictly dominated action Sometimes we can repeat the procedure: eliminate all strictly dominated actions, and then continue to eliminate strategies that are now dominated in the simpler game. Are there more than one actions that can be eliminated from the following game? First B and then C can be eliminated.

Weak Domination Player i s action a i weakly dominates action a i if u i (a i, a i ) u i (a i, a i ) for every list a i of the other players actions, and u i (a i, a i ) > u i (a i, a i ) for some list a i of the other players actions. Action a i is then weakly dominated.

Weak Domination Any weakly dominated action in the following game? Player 2 L C R Player 1 U 7, 3 0, 4 4, 4 M 4, 6 1, 5 5, 3 D 3, 8 1, 2 4, 0 R weakly dominated by C; D weakly dominated by M If player i s action a i weakly dominates every other action of hers, then a i is i s weakly dominant action.

Example: Voting There are two candidates A and B for an office, and N voters, N 3 and odd. A majority of voters prefer A to win. Is there a strictly dominated action? A weakly dominated action? What are the Nash equilibria of the game? Hint: Let N A denote the number of voters that vote for A, and N B the number of voters that vote for B, N A + N B = N, then What if N A = N B + 1 or N B = N A + 1, and some citizens who vote for the winner actually prefer the loser? What if N A = N B + 1 or N B = N A + 1, and nobody who votes for the winner actually prefers the loser? Can it happen that N A = N B + 2 or N B = N A + 2? What if N A N B + 3 or N B N A + 3?

Solving the voting problem What if N A = N B + 1 or N B = N A + 1, and some citizens who vote for the winner actually prefer the loser? Such a citizen can unilaterally deviate and make her favorite candidate win. Not a NE. What if N A = N B + 1 or N B = N A + 1, and nobody who votes for the winner actually prefers the loser? The former is a NE, but the latter cannot occur (the supporters of B would be more than half). Can it be happen that N A = N B + 2 or N B = N A + 2? No, because N is odd. What if N A N B + 3 or N B N A + 3? Yes, NE.

Strategic voting There are three candidates, A, B, and C, and no voter is indifferent between any two of them. Voting for one s least preferred candidate is a weakly dominated action. What about voting for one s second preference? Not dominated. Suppose you prefer A to B to C, and the other citizens votes are tied between B and C, with A being a distant third. Then voting for B, your second preference, is your best choice! strategic voting In two-candidate elections you are weakly better off by voting for your favorite candidate, but in three-candidate elections that is not necessarily the case. E.g, Nader supporters in 2000 US election.

Hotelling/Downsian model A workhorse model of electoral competition. First proposed by Hotelling (1929) and popularized by Downs (1957). Setup: Parties/candidates compete by choosing a policy on the line segment [0, 1]. The party with most votes wins; if there is a draw, each party has a 50% chance of winning. Parties only care about winning, and will commit to the platforms they have chosen. Each voter has a favorite policy on [0, 1]; her utility decreases as the winner s position is further away from her favorite policy single-peaked preference Each voter will vote sincerely, choosing the party whose position is closest to her favorite policy. There is a median voter position, m.

Two parties Suppose there are 2 parties, L and R. What is the Nash equilibrium for the parties positions? The unique equilibrium is both parties choose position m. (m, m) is clearly a NE any other action profile is not a NE This is the so-called median voter theorem.

Three parties Suppose there is a continuum of voters, with favorite policies uniformly distributed on [0, 1], and the number of parties is 3 (L, C, R). Do we still have the equilibrium that all parties choose m? No. One of the parties can move slightly to the left or the right of the median voter position, and win the election. Would the three parties positioning at 0.45, 0.55, 0.6 be a NE? Yes. L wins already; C and R cannot win by moving anywhere.

Condorcet winner A Condorcet winner in an election is a position, x, such that for every other position y that is different from x, a majority of voters prefer x to y. The median voter position is a Condorcet winner. Not all election games have a Condorcet winner. Condorcet paradox: A prefers X to Y to Z; B prefers Y to Z to X; C prefers Z to X to Y. Even if there is a Condorcet winner, it only has guaranteed victory in pairwise comparisons, not necessarily when there are three or more policy alternatives.