1. problem set 6 from Osborne’s Introd. To G.T. p.210 Ex. 210.1 p.234 Ex. 234.1 p.337 Ex. 26,27...

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problem set 6

from Osborne’sIntrod. To G.T.

p.210 Ex. 210.1p.234 Ex. 234.1

p.337 Ex. 26,27

from Binmore’sFun and Games

3

Minimax & Maximin Strategies

Minimax & Maximin Strategies

Given a game G( , ) and a strategy s of player 1:

min 1t

G s,t

is the worst that can happen to player 1 when he plays strategy s.

maxmin 1ts

G s,t

He can now choose a strategy s for which this ‘worst scenario’ is the best

4

A strategy s is called a maximin (security) strategy if

min maxmint ts

G s,t G s,t min maxmin .1 1t tσ

G s,t G σ,t

min

min

1t

1t

G s,t

G s',t

min 1t

G s,t

min 1t

G s',t

{{

s

s'max

s

5

A strategy s is called a maximin (security) strategy if

min maxmin1 1t ts

G s,t G s,t min maxmin .1 1t tσ

G s,t G σ,t

These can be defined for mixed strategies as well.

Similarly, one may define

minmax 1t s

G s,t

If the game is strictly competitive then this is the best of the ‘worst case scenarios’ of player 2.

max sup min inf= , =

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where s,t are mixed strategies

Lemma:

minmax maxmint ts s

G s,t G s,t

Take the matrix to be the matrix of player 1’s payoffs of a game G,

i.e. G1

For any matrix G:

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Lemma:For any matrix G:

minmax maxmint ts s

G s,t G s,t

Proof:For any two strategies s,t :

max minτσ

G σ,t G s,τ

max min τσ

G σ,t G s,t G s,τ

??

where s,t are mixed strategies

hence:

max mimi nn maxt τσ s

G σ,t G s,τ minmax maxmint ts s

G s,t G s,t

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Theorem: (von Neumann) For any matrix G:

minmax maxmint ts s

G s,t G s,t

Lemma:

If s is a maximin strategy and t is a minimax strategy of a strictly competitive game, then (s,t) is a Nash equilibrium.

Proof:

The max & min is taken over mixed strategies

No proof is provided in the lecture

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min

max

t

s

G s,t G s,t

G s,t

s

tProof:

max min ts

G s,t G s,t G s,t

=but

hence max mints

G s,t = G s,t G s,tmaxmin = minmax

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max mints

G s,t = G s,t G s,t

t is a best response against s

s is a best response against t

( s , t ) is a Nash Equilibrium.

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Mixed Strategies Equilibria in Infinite

GamesThe ‘All Pay’ Auction

Two players bid simultaneously for a good of value K the bids are in [0,K].

Each pays his bid. The player with the higher bid gets the object. If the bids are equal, they share the object.

There are no equilibria in pure strategies

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is not an equilibriumx, x x <1. K

.

increasing the bid by increases payoff

from to

ε

K/2 - x K - x - ε

is not an equilibrium2. K,K

.

lowering the bid to increases payoff

from to

0

K/2 - K = -K/2 0

is not an equilibriumx, y x < y3.

.

lowering the bid from to increases payoff

from to

y y - ε

K - y K - y + ε

There are no equilibria in pure strategies

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Equilibrium in mixed strategies

, .

A mixed strategy is a (cumulative) probability distribution

over with a density function F 0, K f x

at most is the probability that the player bids F x x.

assume that the support of is an interval F a,b 0,K

x

0

F x = f s ds

a b0 K

F1

iff f x > 0 x a,b

a b0 K

f

xF(x)

F a = 0, F b = 1

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When player bids and player uses a mixed strategy

, then player 's payoff is :2 •

1

F

2x

1

2 2F x K - x + 1 - F x -x

2= KF x - x

Player 's mixed strategy is a best response to if

for all 1 2

1 1 2

F F

x a ,b KF x - x = C

1

and

for all 1 1 2y a ,b KF y - y C.

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Player 's mixed strategy is a best response to if

for all 1 2

1 1 2

F F

x a ,b KF x - x = C

1

and

for all 1 1 2y a ,b KF y - y C.

2KF x - 1 = 0

2Kf x - 1 = 0 2

1f x

K

is uniform and s ince 2

2 2

F f 1/K

a ,b = 0,K

.Similarly is uniform over 1F 0,K

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In equilibrium, the expected payoff of a given bid

(of each player) is :

1

KF(x) - x = K x - x 0K

1 2

xF (x) = F (x) = F(x) =

K

In equilibrium, the expected payoff of each player is . 0

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Rosenthal’s Centipede Game

1 2

0 , 101, 0

1 2

0 , 103102 , 0

1 2

0 , 105104 , 0

0 , 0

D

A

‘Exploding’ payoffsdue to P. Reny

‘Centipede’due to

K.G.Binmore

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Rosenthal’s Centipede Game

1 2

0 , 101, 0

1 2

0 , 103102 , 0

1 2

0 , 105104 , 0

0 , 0

D

A

Sub-game perfect equilibrium

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Rosenthal’s Centipede Game

1 2

1 , 32, 0

1 2

3 , 54 , 2

1 2

5 , 76 , 4

8 , 6

D

A

Sub-game perfect equilibriumdifferent payoffs

1 2

0 , 101, 0

1 2

0 , 103102 , 0

1 2

0 , 105104 , 0

0 , 0

D

A

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1

2, 2

Quietevening

A Variation of the Battle of the Sexes

Noisyevening

B X

B 3 , 1 0 , 0

X 0 ,0 1 , 3

Player 1 has 4 strategiesPlayer 2 has 2 strategies

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1

2, 2

Quietevening

A Variation of the Battle of the Sexes

Noisyevening

B X

B 3 , 1 0 , 0

X 0 ,0 1 , 3

Nash Equilibria

B X

B 3 , 1 0 , 0

X 0 ,0 1 , 3

[ (N,B), B ]

B X

B 3 , 1 0 , 0

X 0 ,0 1 , 3[ (Q,X), X ]

B X

B 3 , 1 0 , 0

X 0 ,0 1 , 3

[ (Q,B), X ]

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1

2, 2

Quietevening

A Variation of the Battle of the Sexes

Noisyevening

B X

B 3 , 1 0 , 0

X 0 ,0 1 , 3

Nash Equilibria

[ (N,B), B ]

[ (Q,X), X ]

[ (Q,B), X ]

not a sub-game perfect equilibrium !!!These S.P.E. guarantee player 1

a payoff of at least 27

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