Wireless Network Pricing Chapter 6: Oligopoly Pricing Jianwei Huang - - PowerPoint PPT Presentation

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Wireless Network Pricing Chapter 6: Oligopoly Pricing Jianwei Huang - - PowerPoint PPT Presentation

Wireless Network Pricing Chapter 6: Oligopoly Pricing Jianwei Huang & Lin Gao Network Communications and Economics Lab (NCEL) Information Engineering Department The Chinese University of Hong Kong Huang & Gao ( c NCEL) Wireless


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SLIDE 1

Wireless Network Pricing Chapter 6: Oligopoly Pricing

Jianwei Huang & Lin Gao

Network Communications and Economics Lab (NCEL) Information Engineering Department The Chinese University of Hong Kong

Huang & Gao ( c NCEL) Wireless Network Pricing: Chapter 6 October 9, 2018 1 / 29
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SLIDE 2

The Book

E-Book freely downloadable from NCEL website: http: //ncel.ie.cuhk.edu.hk/content/wireless-network-pricing Physical book available for purchase from Morgan & Claypool (http://goo.gl/JFGlai) and Amazon (http://goo.gl/JQKaEq)

Huang & Gao ( c NCEL) Wireless Network Pricing: Chapter 6 October 9, 2018 2 / 29
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SLIDE 3

Chapter 6: Oligopoly Pricing

Huang & Gao ( c NCEL) Wireless Network Pricing: Chapter 6 October 9, 2018 3 / 29
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SLIDE 4

Focus of This Chapter

Key Focus: This chapter focuses on the user interactions in an

  • ligopoly market, where multiple self-interested individuals make

decisions independently, and the payoff of each individual depends not only on his own decision, but also on the decisions of others. Theoretic Approach: Game Theory

I Strategic Form Game I Extensive Form Game Huang & Gao ( c NCEL) Wireless Network Pricing: Chapter 6 October 9, 2018 4 / 29
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SLIDE 5

Game Theory

Follow the discussions in

I “A course in game theory” by M. Osborne and A. Rubinstein, 1994; I “A Primer in Game Theory” by R. Gibbons, 1992; I “Game theory with applications to economics” by J. Friedman, 1986; I “Game theory and applications” by L. Petrosjan and V. Mazalov, 2002.

Definition (Game Theory) Game theory is a study of strategic decision making. Specifically, it is the study of mathematical models of conflict and cooperation between intelligent rational individuals.

Huang & Gao ( c NCEL) Wireless Network Pricing: Chapter 6 October 9, 2018 5 / 29
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SLIDE 6

Section 6.1 Theory: Game Theory

Huang & Gao ( c NCEL) Wireless Network Pricing: Chapter 6 October 9, 2018 6 / 29
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SLIDE 7

What is a game?

A game is a formal representation of a situation in which a number of individuals interact with strategic interdependence.

I Each individual’s payoff depends not only on his own choice, but also
  • n the choices of other individuals;
I Each individual is rational (self-interested), whose goal is to choose the

actions that produce his most preferred outcome.

Key components of game

I Players: Who are involved in the game? I Rules: What actions can players choose? How and when do they make

decisions? What information do players know about each other when making decisions?

I Outcomes: What is the outcome of the game for each possible action

combinations chosen by players?

I Payoffs: What are the players’ preferences (i.e., utilities) over the

possible outcomes?

Huang & Gao ( c NCEL) Wireless Network Pricing: Chapter 6 October 9, 2018 7 / 29
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SLIDE 8

Strategic Form Game

In strategic form games (also called normal form games), all players make decisions simultaneously without knowing each other’s choices. Definition (Strategic Form Game) A strategic form game is a triplet hI, (Si)i2I, (ui)i2Ii where I = {1, 2, ..., I} is a finite set of players; Si is a set of available actions (pure strategies) for player i 2 I;

I S , ΠiSi denotes the set of all action profiles.

ui : S ! R is the payoff (utility) function of player i, which maps every possible action profile in S to a real number.

Huang & Gao ( c NCEL) Wireless Network Pricing: Chapter 6 October 9, 2018 8 / 29
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SLIDE 9

Prisoner's dilemma

  • Two suspects are arrested.
  • The police lack sufficient evidence to convict

the suspects, unless at least one confesses.

  • The police hold the suspects in separate

rooms, and tell each of them three possible consequences.

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SLIDE 10

Prisoner's dilemma

  • If both deny: 1 month in jail each.
  • If both confess: 6 months in jail each.
  • If one confesses and one denies
  • The one confesses: walk away free of charge.
  • The one denies: serve 12 months in jail.
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SLIDE 11

Prisoner's dilemma

  • 1, -1
  • 12, 0

0, -12

  • 6, -6

Player 2

Deny Confess

Player 1

Deny Confess

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SLIDE 12

Prisoner's dilemma

  • 1, -1
  • 12, 0

0, -12

  • 6, -6

Lady

Deny Confess

Gentleman

Deny Confess

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SLIDE 13

Prisoner's dilemma

  • 1, -1
  • 12, 0

0, -12

  • 6, -6

Player 2

Deny Confess

Player 1

Deny Confess

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SLIDE 14

Prisoner's dilemma

Player 2

Deny

Player 1

Deny Confess

  • 1, -1

0, -12

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SLIDE 15

Prisoner's dilemma

Player 2

Confess

Player 1

Deny Confess

  • 12, 0
  • 6, -6
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SLIDE 16

Strictly Dominant

  • Confess is a strictly dominant strategy for

player 1, as it always leads to the best payoff among all his strategies, independent of player 2’s strategy.

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SLIDE 17

Prisoner's dilemma

  • 1, -1
  • 12, 0

0, -12

  • 6, -6

Player 2

Deny Confess

Player 1

Deny Confess

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SLIDE 18

Prisoner's dilemma

Player 2

Deny Confess

Player 1

Deny

  • 1, -1
  • 12, 0
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SLIDE 19

Prisoner's dilemma

Player 2

Deny Confess

Player 1

Confess

0, -12

  • 6, -6
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SLIDE 20

Strictly Dominant

  • Confess is also a strictly dominant strategy for

player 2.

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SLIDE 21

Prisoner's dilemma

  • 1, -1
  • 12, 0

0, -12

  • 6, -6

Player 2

Deny Confess (dominant)

Player 1

Deny Confess (dominant)

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SLIDE 22

Prisoner's dilemma

Player 2

Deny Confess (dominant)

Player 1

Confess (dominant)

0, -12

  • 6, -6
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SLIDE 23

Prisoner's dilemma

Player 2

Confess (dominant)

Player 1

Confess (dominant)

  • 6, -6
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SLIDE 24

Prisoner's dilemma

  • 1, -1
  • 12, 0

0, -12

  • 6, -6

Player 2

Deny Confess (dominant)

Player 1

Deny Confess (dominant)

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SLIDE 25

Prisoner's dilemma

  • In Prisoner’s dilemma, individual strategic
  • ptimizations lead to a “lose-lose” situation.
  • (deny, deny) leads to better payoffs than (confess,

confess).

  • Such a result is stable: no player has incentive

to change the strategy.

  • When there is a strictly dominant strategy, a

player can safely remove all other strategies.

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SLIDE 26

Strictly Dominated

  • Most games do not have strictly dominant

strategies.

  • We can look for strictly dominated strategies.
  • For player 1, strategy x is strictly dominated,

if choosing x always leads to a strictly less payoff than choosing another strategy y, independent of player 2’s choice.

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SLIDE 27

Strategic Form Game

Definition (Strictly Dominated Strategy) For a strategy si 2 Si, if there exists some strategy s0

i 2 Si such that

ui(si, si) < ui(s0

i, si),

8si 2 Si, then strategy si is strictly dominated by strategy s0

i.

A strictly dominated strategy can be safely removed from the player’s strategy set without changing the game outcome.

Huang & Gao ( c NCEL) Wireless Network Pricing: Chapter 6 October 9, 2018 9 / 29
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SLIDE 28

An Example

1, 0 1, 2 0, 1 0, 3 0, 1 2, 0 Player 2

Left Middle

Player 1

Up Down Right

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SLIDE 29

An Example

1, 0 1, 2 0, 1 0, 3 0, 1 2, 0 Player 2

Left Middle

Player 1

Up Down Right (dominated)

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SLIDE 30

Strictly Dominated

  • A strictly dominated strategy may not be the

worst

  • As long as another strategy is strictly better than it.
  • We can safely remove a strictly dominated

strategy, as it will never be played.

  • This can be done iteratively until all strictly

dominated strategies are eliminated.

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SLIDE 31

An Example

1, 0 1, 2 0, 1 0, 3 0, 1 2, 0 Player 2

Left Middle

Player 1

Up Down Right (dominated)

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SLIDE 32

An Example

Player 2

Left Middle

Player 1

Up Down

1, 0 1, 2 0, 3 0, 1

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SLIDE 33

An Example

Player 2

Left Middle

Player 1

Up Down (dominated)

1, 0 1, 2 0, 3 0, 1

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SLIDE 34

An Example

Player 2

Left Middle

Player 1

Up

1, 0 1, 2

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SLIDE 35

An Example

Player 2

Middle

Player 1

Up

1, 2

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SLIDE 36

An Example

1, 0 1, 2 0, 1 0, 3 0, 1 2, 0 Player 2

Left Middle

Player 1

Up Down Right

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SLIDE 37

Iterative Elimination

  • Any strictly dominated strategy can be

removed without affecting the game outcome.

  • If there are multiple strictly dominated

strategies, they can be removed in any order.

  • New strictly dominated strategy might

emerge during the removing process.

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SLIDE 38

Finding Equilibrium

  • When there are no strictly dominant or strictly

dominated strategies, we can not easily eliminate any strategies.

  • We need to understand the best choices of

players considering each other’s choices.

  • We try to find a stable outcome where both

players are happy, hence an equilibrium.

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SLIDE 39

Strategic Form Game

Best Response Correspondence

I A best response is the strategy which produces the most preferred
  • utcome for a player, taking all other players’ strategies as given.

Definition (Best Response Correspondence) For each player i, the best response correspondence Bi(si) : Si ! Si is a mapping from the set Si into Si such that Bi(si) = {si 2 Si | ui(si, si) ui(s0

i, si), 8s0 i 2 Si}.

I si = (sj, 8j 6= i) is the vector of actions for all players except i; I Si , Πj6=iSj is the set of action profiles for all players except i. Huang & Gao ( c NCEL) Wireless Network Pricing: Chapter 6 October 9, 2018 11 / 29
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SLIDE 40

Stag Hunt

  • Two individuals go for a hunt.
  • Each one can hunt a stag (deer) or a hare.
  • Successful hunt of stag requires cooperation.
  • Successful hunt of hare can be done

individually.

  • Simultaneous decisions without prior

communications.

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SLIDE 41

Stag Hunt

5, 5 0, 2 2, 0 2, 2 Player 2

Stag Hare

Player 1

Stag Hare

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SLIDE 42

Stag Hunt

  • There is no strictly dominant or strictly

dominated strategies.

  • We will find out a player’s best response

given the other player’s choice.

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SLIDE 43

Stag Hunt

5, 5 0, 2 2, 0 2, 2 Player 2

Stag Hare

Player 1

Stag Hare

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SLIDE 44

Stag Hunt

Player 2

Stag

Player 1

Stag Hare

5, 5 2, 0

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SLIDE 45

Stag Hunt

Player 2

Stag

Player 1

Stag Hare

5, 5 2, 0

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SLIDE 46

Stag Hunt

Player 2

Hare

Player 1

Stag Hare

0, 2 2, 2

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SLIDE 47

Stag Hunt

Player 2

Hare

Player 1

Stag Hare

0, 2 2, 2

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SLIDE 48

Stag Hunt

5, 5 0, 2 2, 0 2, 2 Player 2

Stag Hare

Player 1

Stag Hare

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SLIDE 49

Stag Hunt

5, 5 0, 2 2, 0 2, 2 Player 2

Stag Hare

Player 1

Stag Hare

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SLIDE 50

Stag Hunt

5, 5 0, 2 2, 0 2, 2 Player 2

Stag Hare

Player 1

Stag Hare

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SLIDE 51

Nash Equilibrium (NE)

  • A pair of strategies form a Nash Equilibrium

(NE) if each player is choosing the best response given the other player’s strategy choice.

  • At a Nash equilibrium, no player can perform

a profitable deviation unilaterally.

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SLIDE 52

Strategic Form Game

Nash Equilibrium

I A Nash equilibrium is such a strategy profile under which no player has

the incentive to change his strategy unilaterally.

Definition (Pure Strategy Nash Equilibrium) A pure strategy Nash Equilibrium of a strategic form game hI, (Si)i2I, (ui)i2Ii is a strategy profile s⇤ 2 S such that for each player i 2 I, the following condition holds ui(s⇤

i , s⇤ i) ui(s0 i, s⇤ i),

8s0

i 2 Si.

Huang & Gao ( c NCEL) Wireless Network Pricing: Chapter 6 October 9, 2018 13 / 29
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SLIDE 53

Equilibrium Selection

  • How to choose between two Nash equilibria?
  • (Stag, Stag) is payoff dominant: both players

get the best payoff possible.

  • (Hare, Hare) is risk dominant: minimum risk

if player is uncertain of each other’s choice.

  • Many theories, open problem.
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SLIDE 54

Battle of Sexes

  • A couple need to decide where to go during

Friday night.

  • Husband prefers to go and watch football.
  • Wife prefers to go and watch ballet.
  • Both prefer to stay together during the night.
  • They will make simultaneous decisions during

the day without prior communications.

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SLIDE 55

Battle of Sexes

4, 2 0, 0 0, 0 2, 4 Wife

Football Ballet

Husband

Football Ballet

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SLIDE 56

Battle of Sexes

Wife

Football

Husband

Football Ballet

4, 2 0, 0

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SLIDE 57

Battle of Sexes

Wife

Football

Husband

Football Ballet

4, 2 0, 0

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SLIDE 58

Battle of Sexes

Wife

Ballet

Husband

Football Ballet

0, 0 2, 4

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SLIDE 59

Battle of Sexes

Wife

Ballet

Husband

Football Ballet

0, 0 2, 4

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SLIDE 60

Battle of Sexes

4, 2 0, 0 0, 0 2, 4 Wife

Football Ballet

Husband

Football Ballet

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SLIDE 61

Battle of Sexes

Wife

Football Ballet

Husband

Football

4, 2 0, 0

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SLIDE 62

Battle of Sexes

Wife

Football Ballet

Husband

Football

4, 2 0, 0

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SLIDE 63

Battle of Sexes

Wife

Football Ballet

Husband

Ballet

0, 0 2, 4

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SLIDE 64

Battle of Sexes

Wife

Football Ballet

Husband

Ballet

0, 0 2, 4

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SLIDE 65

Battle of Sexes

4, 2 0, 0 0, 0 2, 4 Wife

Football Ballet

Husband

Football Ballet

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SLIDE 66

Anti-Coordination Game

  • In Anti-Coordination Game, it is beneficial for

players to choose different strategies.

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SLIDE 67

Hawk-Dove Game

  • Two birds flight over a valuable territory.
  • Two possible strategies:
  • Hawk: flight until injured or your opponent retreats.
  • Dove: display hostility, but retreat if your opponent

chooses to fight.

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SLIDE 68

Hawk-Dove Game

  • 2, -2

2, 0 0, 2 1, 1 Player 2

Hawk Dove

Player 1

Hawk Dove

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SLIDE 69

Hawk-Dove Game

Player 2

Hawk

Player 1

Hawk Dove

  • 2, -2

0, 2

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SLIDE 70

Hawk-Dove Game

Player 2

Hawk

Player 1

Hawk Dove

  • 2, -2

0, 2

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SLIDE 71

Hawk-Dove Game

Player 2

Dove

Player 1

Hawk Dove

2, 0 1, 1

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SLIDE 72

Hawk-Dove Game

Player 2

Dove

Player 1

Hawk Dove

2, 0 1, 1

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SLIDE 73

Hawk-Dove Game

  • 2, -2

2, 0 0, 2 1, 1 Player 2

Hawk Dove

Player 1

Hawk Dove

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SLIDE 74

Hawk-Dove Game

  • 2, -2

2, 0 0, 2 1, 1 Player 2

Hawk Dove

Player 1

Hawk Dove

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SLIDE 75

Hawk-Dove Game

  • 2, -2

2, 0 0, 2 1, 1 Player 2

Hawk Dove

Player 1

Hawk Dove

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SLIDE 76

Pure Strategy NE

  • So far we have restricted each player to choose
  • ne strategy.
  • Also called pure strategy.
  • The corresponding Nash equilibrium is called

pure strategy Nash equilibrium (PNE).

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SLIDE 77

Mixed Strategies

  • Sometimes a game may not have a pure

strategy Nash equilibrium.

  • We will allow players to “randomize” over

their strategies.

  • We will see that it can be very natural to do so.
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SLIDE 78

Matching Pennies

  • Two individuals, each having a penny.
  • They simultaneously decide to show head or

tail of their own penny.

  • One player prefers to have a matching result.
  • The other player prefers mismatch.
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SLIDE 79

Matching Pennies

1, -1

  • 1, 1
  • 1, 1

1, -1 Player 2

Head Tail

Player 1

Head Tail

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SLIDE 80

Matching Pennies

Player 2

Head Tail

Player 1

Head Tail

1, -1

  • 1, 1
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SLIDE 81

Matching Pennies

Player 2

Tail

Player 1

Head Tail

  • 1, 1

1, -1

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SLIDE 82

Matching Pennies

Player 2

Head Tail

Player 1

Head

1, -1

  • 1, 1
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SLIDE 83

Matching Pennies

Player 2

Head Tail

Player 1

Tail

  • 1, 1

1, -1

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SLIDE 84

Matching Pennies

1, -1

  • 1, 1
  • 1, 1

1, -1 Player 2

Head Tail

Player 1

Head Tail

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SLIDE 85

Matching Pennies

  • There is no pure strategy Nash equilibrium.
  • Given an opponent’s pure strategy, a player

always has a profitable deviation:

  • Player 1 Head -> Player 2 Tail -> Player 1 Tail ->

Player 2 Head -> Player 1 Head -> ...

  • To prevent the opponent from taking

advantage, it is better to “randomize” the choices.

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SLIDE 86
  • Assume that player 2 plays

Head half of the time and Tail half of the time.

  • Player 1’s expected payoff of

choosing Head is:

  • 1*(1/2) + (-1) *(1/2) = 0
  • Player 1’s expected payoff of

choosing Tail is:

  • (-1)*(1/2) + 1 *(1/2) = 0

Matching Pennies

Player 2

Head (1/2) Tail (1/2)

Player 1

Head Tail

1, -1

  • 1, 1
  • 1, 1

1, -1

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SLIDE 87

Matching Pennies

  • Player 1 is indifferent between Head and Tail,

when player 2 chooses according to (1/2, 1/2).

  • In fact, if player 1 chooses Head with a

probability p and Tail with a probability 1-p, then the expected payoff is p*0 + (1-p)*0 = 0.

  • Hence choosing the two strategies based on (p,

1-p) for any p is player 1’s best response.

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SLIDE 88
  • Similarly, assume that player

1 plays Head half of the time and Tail half of the time.

  • Player 2’s expected payoff of

choosing Head is:

  • (-1)*(1/2) + 1 *(1/2) = 0
  • Player 2’s expected payoff of

choosing Tail is:

  • 1*(1/2) + (-1) *(1/2) = 0

Matching Pennies

Player 2

Head Tail

Player 1

Head (1/2) Tail (1/2)

1, -1

  • 1, 1
  • 1, 1

1, -1

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SLIDE 89

Matching Pennies

  • Player 2 is indifferent between Head and Tail,

when player 1 chooses according to (1/2, 1/2).

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SLIDE 90

Matching Pennies

  • (1/2, 1/2) and (1/2, 1/2) are mutual best

responses, since no player can find a profitable deviation.

  • Unique Mixed strategy Nash equilibrium

(MNE): ((1/2, 1/2), (1/2, 1/2)).

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SLIDE 91

Strategic Form Game

Mixed Strategy

I A mixed strategy is a probability distribution function (or probability

mass function) over all pure strategies of a player.

I For example, in the Matching Pennies Game, a mixed strategy of player

1 can be σ1 = (0.4, 0.6), which means that player 1 picks “HEADS” with probability 0.4 and “TAILS” with probability 0.6.

I Expected Payoff under Mixed Strategy

ui(σ) = X

s2S

  • ΠI

j=1σj(sj)

  • · ui(s),
F σ = (σj, ∀j ∈ I) is a mixed strategy profile; F s = (sj, ∀j ∈ I) is a pure strategy profile; F σj(sj) is the probability of player j choosing pure strategy sj. Huang & Gao ( c NCEL) Wireless Network Pricing: Chapter 6 October 9, 2018 16 / 29
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SLIDE 92

Strategic Form Game

Mixed Strategy Nash Equilibrium

I A mixed strategy Nash equilibrium is such a mixed strategy profile

under which no player has the incentive to change his mixed strategy unilaterally.

Definition (Mixed Strategy Nash Equilibrium) A mixed strategy profile σ⇤ is a mixed strategy Nash Equilibrium if for every player i 2 I, ui(σ⇤

i , σ⇤ i) ui(σ0 i, σ⇤ i),

8σ0

i 2 Σi.

I In the example of Matching Pennies Game, there is one mixed strategy

Nash Equilibrium: σ⇤ = (σ⇤

1, σ⇤ 2) with σ⇤ i = (0.5, 0.5), i = 1, 2.

Huang & Gao ( c NCEL) Wireless Network Pricing: Chapter 6 October 9, 2018 17 / 29
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SLIDE 93

Strategic Form Game

“Support” of Mixed Strategy

I The “support” of a mixed strategy σi is the set of pure strategies

which are assigned positive probabilities. That is, supp(σi) , {si 2 Si | σi(si) > 0}.

Theorem A mixed strategy profile σ⇤ is a mixed strategy Nash Equilibrium if and

  • nly if for every player i 2 I, the following two conditions hold:

Every chosen action is equally good, that is, the expected payoff given σ⇤

i of every si 2 supp(σi) is the same;

Every non-chosen action is no better, that is, the expected payoff given σ⇤

i of every si /

2 supp(σi) must be no larger than the expected payoff of si 2 supp(σi).

Huang & Gao ( c NCEL) Wireless Network Pricing: Chapter 6 October 9, 2018 18 / 29
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SLIDE 94

How to Compute MNE

  • In general, how do we compute MNE?
  • In fact, the three games all have MNE.
  • Stag Hunt
  • Battle of Sexes
  • Hawk-Dove
  • Let’s compute two of them.
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SLIDE 95

Stag Hunt

5, 5 0, 2 2, 0 2, 2 Player 2

Stag Hare

Player 1

Stag Hare

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SLIDE 96

Stag Hunt

5, 5 0, 2 2, 0 2, 2 Player 2

Stag (p) Hare (1-p)

Player 1

Stag (q) Hare (1-q)

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SLIDE 97
  • Given p, Player 1 is indifferent

between Stag and Hare.

  • Player 1’s expected payoff of

choosing Stag is 5*p + 0 *(1-p).

  • Player 1’s expected payoff of

choosing Hare is 2*p + 2 *(1-p).

  • 5*p + 0 *(1-p) = 2*p + 2 *(1-p)

Hence p = 0.4

  • Due to symmetry, q = 0.4.

Stag Hunt

Player 2 Player 1

5, 5 0, 2 2, 0 2, 2

Stag (p) Hare (1-p) Stag Hare

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SLIDE 98

Unique MNE

5, 5 0, 2 2, 0 2, 2 Player 2

Stag (0.4) Hare (0.6)

Player 1

Stag (0.4) Hare (0.6)

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SLIDE 99

Battle of Sexes

4, 2 0, 0 0, 0 2, 4 Wife

Football Ballet

Husband

Football Ballet

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SLIDE 100

Battle of Sexes

4, 2 0, 0 0, 0 2, 4 Wife

Football (p) Ballet (1-p)

Husband

Football (q) Ballet (1-q)

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SLIDE 101
  • Given p, husband is indifferent

between football and ballet.

  • Husband’s expected payoff of

choosing football is 4*p + 0 *(1-p).

  • Husband’s expected payoff of

choosing ballet is 0*p + 2 *(1-p).

  • 4*p + 0 *(1-p) = 0*p + 2 *(1-p)

Hence p = 1/3

Battle of Sexes

Wife Husband

4, 2 0, 0 0, 0 2, 4

Football (p) Ballet (1-p) Football Ballet

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SLIDE 102
  • Given q, wife is indifferent

between football and ballet.

  • Wife’s expected payoff of

choosing football is 2*q + 0 *(1-q).

  • Wife’s expected payoff of

choosing ballet is 0*q + 4 *(1-q).

  • 2*q + 0 *(1-q) = 0*q + 4 *(1-q)

Hence q = 2/3

Battle of Sexes

Wife Husband

4, 2 0, 0 0, 0 2, 4

Football Ballet Football (q) Ballet (1-q)

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SLIDE 103

Battle of Sexes: Unique MNE

4, 2 0, 0 0, 0 2, 4 Wife

Football (1/3) Ballet (2/3)

Husband

Football (2/3) Ballet (1/3)

slide-104
SLIDE 104

Computing MNE Payoff

4, 2 0, 0 0, 0 2, 4 Wife

Football (1/3) Ballet (2/3)

Husband

Football (2/3) Ballet (1/3)

2/9 1/9 4/9 2/9

slide-105
SLIDE 105

Computing MNE Payoff

  • Husband gets an expected payoff of

2/9*4 + 4/9*0 + 1/9*0 + 2/9*2 = 12/9 = 4/3

  • Wife gets an expected payoff of

2/9*2 + 4/9*0 + 1/9*0 + 2/9*4 = 12/9 = 4/3

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SLIDE 106

Comparing Payoffs

Strategy Profile Payoffs Pure Nash Equilibrium 1 (Football, Football) (4, 2) Pure Nash Equilibrium 2 (Ballet, Ballet) (2, 4) Mixed Nash Equilibrium ((2/3,1/3), (1/3,2/3)) (4/3, 4/3)

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SLIDE 107

Strategic Form Game

Existence of Nash Equilibrium

I When or whether a strategic form game possesses a pure or mixed

strategy Nash equilibrium?

Theorem (Existence (Nash 1950)) Any finite strategic game, i.e., a game that has a finite number of players and each player has a finite number of action choices, has at least one mixed strategy Nash Equilibrium.

Huang & Gao ( c NCEL) Wireless Network Pricing: Chapter 6 October 9, 2018 19 / 29
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SLIDE 108

Strategic Form Game

Theorem (Existence (Debreu-Fan-Glicksburg 1952)) The strategic form game hI, (Si)i2I, (ui)i2Ii has a pure strategy Nash equilibrium, if for each player i 2 I the following condition hold: Si is a non-empty, convex, and compact subset of a finite-dimensional Euclidean space. ui(s) is continuous in s and quasi-concave in si. Compact: closed and bounded. Quasi-concave: a function f (·) is quasi-concave if f (·) is quasi-convex

I http://en.wikipedia.org/wiki/Quasiconvex_function Huang & Gao ( c NCEL) Wireless Network Pricing: Chapter 6 October 9, 2018 20 / 29