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Mixed Strategies

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Funny property: When a player's own payoff from a pure strategy goes up (or down) ... In such games, the mixed strategy equilibrium is also a minmax strategy ... – PowerPoint PPT presentation

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Title: Mixed Strategies


1
Mixed Strategies
2
Overview
  • Principles of mixed strategy equilibria
  • Wars of attrition
  • All-pay auctions

3
Tennis Anyone
R
S
4
Serving
R
S
5
Serving
R
S
6
The Game of Tennis
  • Server chooses to serve either left or right
  • Receiver defends either left or right
  • Better chance to get a good return if you defend
    in the area the server is serving to

7
Game Table
8
Game Table
For server Best response to defend left is to
serve right Best response to defend right is to
serve left For receiver Just the opposite
9
Nash Equilibrium
  • Notice that there are no mutual best responses in
    this game.
  • This means there are no Nash equilibria in pure
    strategies
  • But games like this always have at least one Nash
    equilibrium
  • What are we missing?

10
Extended Game
  • Suppose we allow each player to choose
    randomizing strategies
  • For example, the server might serve left half the
    time and right half the time.
  • In general, suppose the server serves left a
    fraction p of the time
  • What is the receivers best response?

11
Calculating Best Responses
  • Clearly if p 1, then the receiver should defend
    to the left
  • If p 0, the receiver should defend to the
    right.
  • The expected payoff to the receiver is
  • p x ¾ (1 p) x ¼ if defending left
  • p x ¼ (1 p) x ¾ if defending right
  • Therefore, she should defend left if
  • p x ¾ (1 p) x ¼ gt p x ¼ (1 p) x ¾

12
When to Defend Left
  • We said to defend left whenever
  • p x ¾ (1 p) x ¼ gt p x ¼ (1 p) x ¾
  • Rewriting
  • p gt 1 p
  • Or
  • p gt ½

13
Receivers Best Response
Left
Right
p
½
14
Servers Best Response
  • Suppose that the receiver goes left with
    probability q.
  • Clearly, if q 1, the server should serve right
  • If q 0, the server should serve left.
  • More generally, serve left if
  • ¼ x q ¾ x (1 q) gt ¾ x q ¼ x (1 q)
  • Simplifying, he should serve left if
  • q lt ½

15
Servers Best Response
q
½
Left
Right
16
Putting Things Together
Rs best response
q
Ss best response
½
p
1/2
17
Equilibrium
Rs best response
q
Mutual best responses
Ss best response
½
p
1/2
18
Mixed Strategy Equilibrium
  • A mixed strategy equilibrium is a pair of mixed
    strategies that are mutual best responses
  • In the tennis example, this occurred when each
    player chose a 50-50 mixture of left and right.

19
General Properties of Mixed Strategy Equilibria
  • A player chooses his strategy so as to make his
    rival indifferent
  • A player earns the same expected payoff for each
    pure strategy chosen with positive probability
  • Funny property When a players own payoff from a
    pure strategy goes up (or down), his mixture does
    not change

20
Generalized Tennis
Suppose c gt a, b gt d Suppose 1 a gt 1 b, 1 - d
gt 1 c (equivalently b gt a, c gt d)
21
Receivers Best Response
  • Suppose the sender plays left with probability p,
    then receiver should play left provided
  • (1-a)p (1-c)(1-p) gt (1-b)p (1-d)(1-p)
  • Or
  • p gt (c d)/(c d b a)

22
Senders Best Response
  • Same exercise only where the receiver plays left
    with probability q.
  • The sender should serve left if
  • aq b(1 q) gt cq d(1 q)
  • Or
  • q lt (b d)/(b d a b)

23
Equilibrium
  • In equilibrium, both sides are indifferent
    therefore
  • p (c d)/(c d b a)
  • q (b d)/(b d a b)

24
Minmax Equilibrium
  • Tennis is a constant sum game
  • In such games, the mixed strategy equilibrium is
    also a minmax strategy
  • That is, each player plays assuming his opponent
    is out to mimimize his payoff (which he is)
  • and therefore, the best response is to maximize
    this minimum.

25
Does Game Theory Work?
  • Walker and Wooders (2002)
  • Ten grand slam tennis finals
  • Coded serves as left or right
  • Determined who won each point
  • Tests
  • Equal probability of winning
  • Pass
  • Serial independence of choices
  • Fail

26
Battle of the Sexes
27
Hawk-Dove
28
Wars of Attrition
  • Two sides are engaged in a costly conflict
  • As long as neither side concedes, it costs each
    side 1 per period
  • Once one side concedes, the other wins a prize
    worth V.
  • V is a common value and is commonly known by both
    parties
  • What advice can you give for this game?

29
Pure Strategy Equilibria
  • Suppose that player 1 will concede after t1
    periods and player 2 after t2 periods
  • Where 0 lt t1 lt t2
  • Is this an equilibrium?
  • No 1 should concede immediately in that case
  • This is true of any equilibrium of this type

30
More Pure Strategy Equilibria
  • Suppose 1 concedes immediately
  • Suppose 2 never concedes
  • This is an equilibrium though 2s strategy is not
    credible

31
Symmetric Pure Strategy Equilibria
  • Suppose 1 and 2 will concede at time t.
  • Is this an equilibrium?
  • No either can make more by waiting a split
    second longer to concede
  • Or, if t is a really long time, better to concede
    immediately

32
Symmetric Equilibrium
  • There is a symmetric equilibrium in this game,
    but it is in mixed strategies
  • Suppose each party concedes with probability p in
    each period
  • For this to be an equilibrium, it must leave the
    other side indifferent between conceding and not

33
When to concede
  • Suppose up to time t, no one has conceded
  • If I concede now, I earn t
  • If I wait a split second to concede, I earn
  • V t e if my rival concedes
  • t e if not
  • Notice the t term is irrelevant
  • Indifference
  • (V e) x (f/(1 F)) - e x (1 f/(1-F))
  • f/(1 F) 1/V

34
Hazard Rates
  • The term f/(1 F) is called the hazard rate of a
    distribution
  • In words, this is the probability that an event
    will happen in the next moment given that it has
    not happened up until that point
  • Used a lot operations research to optimize
    fail/repair rates on processes

35
Mixed Strategy Equilibrium
  • The mixed strategy equilibrium says that the
    distribution of the probability of concession for
    each player has a constant hazard rate, 1/V
  • There is only one distribution with this
    memoryless property of hazard rates
  • That is the exponential distribution.
  • Therefore, we conclude that concessions will come
    exponentially with parameter V.

36
Observations
  • Exponential distributions have no upper
    bound---in principle the war of attrition could
    go on forever
  • Conditional on the war lasting until time t, the
    future expected duration of the war is exactly as
    long as it was when the war started
  • The larger are the stakes (V), the longer the
    expected duration of the war

37
Economic Costs of Wars of Attrition
  • The expectation of an exponential distribution
    with parameter V is V.
  • Since both firms pay their bids, it would seem
    that the economic costs of the war would be 2V
  • Twice the value of the item????
  • But this neglects the fact that the winner only
    has to pay until the loser concedes.
  • One can show that the expected total cost if
    equal to V.

38
Big Lesson
  • There are no economic profits to be had in a war
    of attrition with a symmetric rival.
  • Look for the warning signs of wars of attrition

39
Wars of Attrition in Practice
  • Patent races
  • RD races
  • Browser wars
  • Costly negotiations
  • Brinkmanship

40
All-Pay Auctions
  • Next consider a situation where expenditures must
    be decided up front
  • No one gets back expenditures
  • Biggest spender wins a price worth V.
  • How much to spend?

41
Pure Strategies
  • Suppose you project that your rival will spend
    exactly b lt V.
  • Then you should bid just a bit higher
  • Suppose you expect your rival will bid b gtV
  • Then you should stay out of the auction
  • But then it was not in the rivals interest to
    bid b gt v in the first place
  • Therefore, there is no equilibrium in pure
    strategies

42
Mixed Strategies
  • Suppose that I expect my rival will bid according
    to the distribution F.
  • Then my expected payoffs when I bid B are
  • V x Pr(Win) B
  • I win when B gt rivals bid
  • That is, Pr(Win) F(B)

43
Best Responding
  • My expected payoff is then
  • VF(B) B
  • Since Im supposed to be indifferent over all B,
    then
  • VF(B) B k
  • For some constant kgt0.
  • This means
  • F(B) (B k)/V

44
Equilibrium Mixed Strategy
  • Recall
  • F(B) (B k)/V
  • For this to be a real randomization, we need it
    to be zero at the bottom and 1 at the top.
  • Zero at the bottom
  • F(0) k/V, which means k 0
  • One at the top
  • F(B1) B1/V 1
  • So B1 V

45
Putting Things Together
  • F(B) B/V on 0 , V.
  • In words, this means that each side chooses its
    bid with equal probability from 0 to V.

46
Properties of the All-Pay Auction
  • The more valuable the prize, the higher the
    average bid
  • The more valuable the prize, the more diffuse the
    bids
  • More rivals leads to less aggressive bidding
  • There is no economic surplus to firms competing
    in this auction
  • Easy to see Average bid V/2
  • Two firms each pay their bid
  • Therefore, expected payment V, the total value
    of the prize.

47
Big Lesson
  • Wars of attrition and all-pay auctions are a kind
    of disguised form of Bertrand competition
  • With equally matched opponents, they compete away
    all the economic surplus from the contest
  • On the flipside, if selling an item or setting up
    competition among suppliers, wars of attrition
    and all-pay auctions are extremely attractive.
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