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A short history of equilibrium

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Title: A short history of equilibrium


1
A short history of equilibrium
  • John Nash and Game Theory

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Oskar Morgenstern
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Oskar Morgenstern
  • Institut für Konjunkturforschung

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Oskar Morgenstern
  • Institut für Konjunkturforschung
  • Sherlock Holmes vs. Moriarty

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Oskar Morgenstern
  • Institut für Konjunkturforschung
  • Sherlock Holmes vs. Moriarty
  • London -- Canterbury -- Dover

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Holmes survival probability

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Holmes survival probability

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Holmes survival probability

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Holmes survival probability

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Holmes survival probability

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Holmes survival probability

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John von Neumann
Zur Theorie der Gesellschaftsspiele (1928)
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Poker for Beginners
  • Two players, Johnny and Oskar
  • Two cards, King and Ace

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Poker for Beginners
  • Two players, Johnny and Oskar
  • Two cards, King and Ace
  • Stakes one dollar each
  • Johnny draws a card

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Poker for Beginners
  • Two players, Johnny and Oskar
  • Two cards, King and Ace
  • Stakes one dollar each
  • Johnny draws a card
  • Johnny gives up Oskar wins
  • Johnny raises stakes another dollar

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Poker for Beginners
  • Two players, Johnny and Oskar
  • Two cards, King and Ace
  • Stakes one dollar each
  • Johnny draws a card
  • Johnny gives up Oskar wins
  • Johnny raises stakes another dollar
  • Oskar gives up Johnny wins
  • Oskar raises Johnny shows card

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Poker for Beginners
  • Johnny can
  • bluff (raise even with king)

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Poker for Beginners
  • Johnny can
  • bluff (raise even with king)
  • not bluff (raise only with ace)

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Poker for Beginners
  • Johnny can
  • bluff (raise even with king)
  • not bluff (raise only with ace)
  • Oskar can
  • raise if Johnny raises

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Poker for Beginners
  • Johnny can
  • bluff (raise even with king)
  • not bluff (raise only with ace)
  • Oskar can
  • raise if Johnny raises
  • give up if Johnny raises

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Johnnys expected gain

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Johnnys expected gain

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Johnnys expected gain

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Johnnys expected gain

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Johnnys expected gain

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Johnnys expected gain

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Johnnys expected gain

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Poker for Beginners
  • Johnny maximize minimal payoff
  • Johnny bluffs with probability 1/3

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Poker for Beginners
  • Johnny maximize minimal payoff
  • Johnny bluffs with probability 1/3
  • Oskar maximize minimal payoff
  • ( minimize Johnnys maximal payof)
  • Oskar raises with probability 2/3

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Poker for Beginners
  • Maximize minimal payoff
  • Johnny bluffs with probability 1/3
  • Oskar raises with probability 2/3
  • none can improve

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Poker for Beginners
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Poker for Beginners
  • Maximize minimal payoff
  • Johnny bluffs with probability 1/3
  • Oskar raises with probability 1/3
  • none can improve
  • Morgensterns example has a solution!

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But
  • Why be a pessimist?

35
But
  • Why be a pessimist?
  • Why only zero sum games?

36
Chicken for Beginners

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Johnnys Payoff for Chicken

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Johnnys Payoff for Chicken

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Johnnys Payoff for Chicken

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Payoff for Chicken

41
Chicken for Beginners
  • Maximin yield

42
Chicken for Beginners
  • Maximin yield
  • not consistent!
  • If the co-player yields, escalate!

43
Chicken for Beginners
  • Maximin yield
  • not consistent!
  • If the co-player yields, escalate!
  • If both yield with probability 9/10,
  • none can improve

44
Nash-Equilibrium
  • Arbitrarily many players
  • each has arbitrarily many strategies

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Nash-Equilibrium
  • Arbitrarily many players
  • each has arbitrarily many strategies
  • there always exists an equilibrium solution

46
Nash-Equilibrium
  • Arbitrarily many players
  • each has arbitrarily many strategies
  • there always exists an equilibrium solution
  • no player can improve payoff by deviating
  • each strategy best reply to the others

47
Nash-Equilibrium
  • Arbitrarily many players
  • each has arbitrarily many strategies
  • there always exists an equilibrium solution
  • no player can improve payoff by deviating
  • each strategy best reply to the others
  • if zero-sum game maximin solution

48
Nash-Equilibrium
  • Presumes rational players

49
Nash-Equilibrium
  • Presumes rational players
  • is unstable
  • if others deviate, it may be better to also
    deviate

50
Two-Person Games

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Mixed strategies

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Best reply

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Best reply

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Nash Equilibria

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Nash Equilibria

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Zero-sum Games

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Zero-sum Games

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Zero-sum Games

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Zero-sum Games

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Zero-sum Games
  • Nash equilibria are maximin pairs!

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Zero-sum Games
  • Nash equilibria are maximin pairs!
  • (and vice versa)

63
Prisoners Dilemma

64
Repeated Prisoners Dilemma
  • Throw dice, stop if 6, new round if not 6
  • on average 6 rounds
  • allow only two strategies
  • Tit For Tat
  • always defect

65
Repeated Prisoners Dilemma

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Risky Coordination

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Public Goods Experiments
  • Six players
  • 20 Euros each
  • invest into common pot
  • this sum is tripled
  • distributed equally among all six players

84
Public Goods Experiments
  • 50 cents return per invested euro
  • Nash invest nothing!
  • no public goods

85
Evolutionary Game Theory
  • adaptation
  • best reply
  • imitate successful players
  • etc
  • if convergence, then to Nash
  • not necessarily convergence! (Hofbauer)
  • local interaction (Nowak)
  • transmission mechanisms and population structure

86
Evolutionary Games
  • Population dynamical viewpoint
  • John Maynard Smith
  • Peter Hammerstein
  • Reinhard Selten
  • Josef Hofbauer

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Evolutionary Games
  • The greatest conceptual revolution in
    biology...the replacement of typological
    thinking by population thinking.
  • Ernst
    Mayr

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Evolutionary Games
  • Population dynamical viewpoint
  • John Maynard Smith
  • Peter Hammerstein
  • Reinhard Selten
  • Josef Hofbauer
  • anticipated by John Nash mass action approach

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