Repeated Games: The Prisoner's Dilemmachristosaioannou.com/Repeated Games The Prisoners Dilemma...In...

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Repeated Games: The Prisoner’s Dilemma

Transcript of Repeated Games: The Prisoner's Dilemmachristosaioannou.com/Repeated Games The Prisoners Dilemma...In...

  • Repeated Games: ThePrisoner’s Dilemma

  • Examples of Prisoner’s Dilemmas

    Christos A. Ioannou2/20

    • In the Prisoner’s Dilemma,• both players have an incentive to

    cheat, and• everyone is better off if no one

    cheats.

    • Consider firms contemplating whetherto advertise,

    • or individuals contemplating whether touse steroids,

    • or firms contemplating whether topollute.

    Can cooperation emerge without external enforcement?

    Cam

    el

    Malboro

    Don

    ’tA

    dver

    tise

    Don’t Advertise

    4,4 1,7-c

    7-c,1 4-c,4-c

    Sos

    a

    McGwire

    Cle

    anS

    tero

    ids

    Clean Steroids

    4,4 1,7-c

    7-c,1 4-c,4-c

    Cou

    ntry

    1

    Country 2

    Don

    ’tP

    ollu

    te

    Don’t Pollute

    4,4 1-c,7-c

    7-c,1-c 4-2c,4-2c

  • Examples of Prisoner’s Dilemmas

    Christos A. Ioannou2/20

    • In the Prisoner’s Dilemma,• both players have an incentive to

    cheat, and• everyone is better off if no one

    cheats.

    • Consider firms contemplating whetherto advertise,

    • or individuals contemplating whether touse steroids,

    • or firms contemplating whether topollute.

    Can cooperation emerge without external enforcement?

    Cam

    el

    Malboro

    Don

    ’tA

    dver

    tise

    Don’t Advertise

    4,4 1,7-c

    7-c,1 4-c,4-c

    Sos

    a

    McGwire

    Cle

    anS

    tero

    ids

    Clean Steroids

    4,4 1,7-c

    7-c,1 4-c,4-c

    Cou

    ntry

    1

    Country 2

    Don

    ’tP

    ollu

    te

    Don’t Pollute

    4,4 1-c,7-c

    7-c,1-c 4-2c,4-2c

  • Examples of Prisoner’s Dilemmas

    Christos A. Ioannou2/20

    • In the Prisoner’s Dilemma,• both players have an incentive to

    cheat, and• everyone is better off if no one

    cheats.

    • Consider firms contemplating whetherto advertise,

    • or individuals contemplating whether touse steroids,

    • or firms contemplating whether topollute.

    Can cooperation emerge without external enforcement?

    Cam

    el

    Malboro

    Don

    ’tA

    dver

    tise

    Don’t Advertise

    4,4 1,7-c

    7-c,1 4-c,4-c

    Sos

    a

    McGwire

    Cle

    anS

    tero

    ids

    Clean Steroids

    4,4 1,7-c

    7-c,1 4-c,4-c

    Cou

    ntry

    1

    Country 2

    Don

    ’tP

    ollu

    te

    Don’t Pollute

    4,4 1-c,7-c

    7-c,1-c 4-2c,4-2c

  • Examples of Prisoner’s Dilemmas

    Christos A. Ioannou2/20

    • In the Prisoner’s Dilemma,• both players have an incentive to

    cheat, and• everyone is better off if no one

    cheats.

    • Consider firms contemplating whetherto advertise,

    • or individuals contemplating whether touse steroids,

    • or firms contemplating whether topollute.

    Can cooperation emerge without external enforcement?

    Cam

    el

    Malboro

    Don

    ’tA

    dver

    tise

    Don’t Advertise

    4,4 1,7-c

    7-c,1 4-c,4-c

    Sos

    a

    McGwire

    Cle

    anS

    tero

    ids

    Clean Steroids

    4,4 1,7-c

    7-c,1 4-c,4-c

    Cou

    ntry

    1

    Country 2

    Don

    ’tP

    ollu

    te

    Don’t Pollute

    4,4 1-c,7-c

    7-c,1-c 4-2c,4-2c

  • Examples of Prisoner’s Dilemmas

    Christos A. Ioannou2/20

    • In the Prisoner’s Dilemma,• both players have an incentive to

    cheat, and• everyone is better off if no one

    cheats.

    • Consider firms contemplating whetherto advertise,

    • or individuals contemplating whether touse steroids,

    • or firms contemplating whether topollute.

    Can cooperation emerge without external enforcement?

    Cam

    el

    Malboro

    Don

    ’tA

    dver

    tise

    Don’t Advertise

    4,4 1,7-c

    7-c,1 4-c,4-c

    Sos

    a

    McGwire

    Cle

    anS

    tero

    ids

    Clean Steroids

    4,4 1,7-c

    7-c,1 4-c,4-c

    Cou

    ntry

    1

    Country 2

    Don

    ’tP

    ollu

    te

    Don’t Pollute

    4,4 1-c,7-c

    7-c,1-c 4-2c,4-2c

  • Examples of Prisoner’s Dilemmas

    Christos A. Ioannou2/20

    • In the Prisoner’s Dilemma,• both players have an incentive to

    cheat, and• everyone is better off if no one

    cheats.

    • Consider firms contemplating whetherto advertise,

    • or individuals contemplating whether touse steroids,

    • or firms contemplating whether topollute.

    Can cooperation emerge without external enforcement?

    Cam

    el

    Malboro

    Don

    ’tA

    dver

    tise

    Don’t Advertise

    4,4 1,7-c

    7-c,1 4-c,4-c

    Sos

    a

    McGwire

    Cle

    anS

    tero

    ids

    Clean Steroids

    4,4 1,7-c

    7-c,1 4-c,4-c

    Cou

    ntry

    1

    Country 2

    Don

    ’tP

    ollu

    te

    Don’t Pollute

    4,4 1-c,7-c

    7-c,1-c 4-2c,4-2c

  • Examples of Prisoner’s Dilemmas

    Christos A. Ioannou2/20

    • In the Prisoner’s Dilemma,• both players have an incentive to

    cheat, and• everyone is better off if no one

    cheats.

    • Consider firms contemplating whetherto advertise,

    • or individuals contemplating whether touse steroids,

    • or firms contemplating whether topollute.

    Can cooperation emerge without external enforcement?

    Cam

    el

    Malboro

    Don

    ’tA

    dver

    tise

    Don’t Advertise

    4,4 1,7-c

    7-c,1 4-c,4-c

    Sos

    a

    McGwire

    Cle

    anS

    tero

    ids

    Clean Steroids

    4,4 1,7-c

    7-c,1 4-c,4-c

    Cou

    ntry

    1

    Country 2

    Don

    ’tP

    ollu

    te

    Don’t Pollute

    4,4 1-c,7-c

    7-c,1-c 4-2c,4-2c

  • Examples of Prisoner’s Dilemmas

    Christos A. Ioannou2/20

    • In the Prisoner’s Dilemma,• both players have an incentive to

    cheat, and• everyone is better off if no one

    cheats.

    • Consider firms contemplating whetherto advertise,

    • or individuals contemplating whether touse steroids,

    • or firms contemplating whether topollute.

    Can cooperation emerge without external enforcement?

    Cam

    el

    Malboro

    Don

    ’tA

    dver

    tise

    Don’t Advertise

    4,4 1,7-c

    7-c,1 4-c,4-c

    Sos

    a

    McGwire

    Cle

    anS

    tero

    ids

    Clean Steroids

    4,4 1,7-c

    7-c,1 4-c,4-c

    Cou

    ntry

    1

    Country 2

    Don

    ’tP

    ollu

    te

    Don’t Pollute

    4,4 1-c,7-c

    7-c,1-c 4-2c,4-2c

  • Examples of Prisoner’s Dilemmas

    Christos A. Ioannou2/20

    • In the Prisoner’s Dilemma,• both players have an incentive to

    cheat, and• everyone is better off if no one

    cheats.

    • Consider firms contemplating whetherto advertise,

    • or individuals contemplating whether touse steroids,

    • or firms contemplating whether topollute.

    Can cooperation emerge without external enforcement?

    Cam

    el

    Malboro

    Don

    ’tA

    dver

    tise

    Don’t Advertise

    4,4 1,7-c

    7-c,1 4-c,4-c

    Sos

    a

    McGwire

    Cle

    anS

    tero

    ids

    Clean Steroids

    4,4 1,7-c

    7-c,1 4-c,4-c

    Cou

    ntry

    1

    Country 2

    Don

    ’tP

    ollu

    te

    Don’t Pollute

    4,4 1-c,7-c

    7-c,1-c 4-2c,4-2c

  • Repeated Game Example

    Christos A. Ioannou3/20

    • The unique Nash equilibrium is (D,D).

    • Consider the strategy Grim-Trigger (GT) where,if the other player chooses D once, then, youplay D forever, otherwise you play C.

    • What should player 2 do if player 1 plays GT?

    C D

    C

    D

    2 2 0 3

    3 0 1 1

  • Repeated Game Example

    Christos A. Ioannou3/20

    • The unique Nash equilibrium is (D,D).

    • Consider the strategy Grim-Trigger (GT) where,if the other player chooses D once, then, youplay D forever, otherwise you play C.

    • What should player 2 do if player 1 plays GT?

    C D

    C

    D

    2 2 0 3

    3 0 1 1

  • Repeated Game Example

    Christos A. Ioannou3/20

    • The unique Nash equilibrium is (D,D).

    • Consider the strategy Grim-Trigger (GT) where,if the other player chooses D once, then, youplay D forever, otherwise you play C.

    • What should player 2 do if player 1 plays GT?

    C D

    C

    D

    2 2 0 3

    3 0 1 1

  • Repeated Game Example

    Christos A. Ioannou3/20

    • The unique Nash equilibrium is (D,D).

    • Consider the strategy Grim-Trigger (GT) where,if the other player chooses D once, then, youplay D forever, otherwise you play C.

    • What should player 2 do if player 1 plays GT?

    C D

    C

    D

    2 2 0 3

    3 0 1 1

  • Repeated Game Example

    Christos A. Ioannou3/20

    • The unique Nash equilibrium is (D,D).

    • Consider the strategy Grim-Trigger (GT) where,if the other player chooses D once, then, youplay D forever, otherwise you play C.

    • What should player 2 do if player 1 plays GT?

    C D

    C

    D

    2 2 0 3

    3 0 1 1

  • Repeated Game Example

    Christos A. Ioannou3/20

    • The unique Nash equilibrium is (D,D).

    • Consider the strategy Grim-Trigger (GT) where,if the other player chooses D once, then, youplay D forever, otherwise you play C.

    • What should player 2 do if player 1 plays GT?

    C D

    C

    D

    2 2 0 3

    3 0 1 1

  • Discounting

    • Players discount their payoffs with discount factorδ ∈ (0, 1).

    • This says, that I care more about my payoff in period 1than in period 1,000.

    • Let(a1, a2, . . . , aT

    )be the choices for T periods; the

    player’s discounted payoff is then,

    ui(a1)+δui

    (a2)+δ2ui

    (a3)+· · ·+δT−1ui

    (aT)=

    T∑t=1

    δt−1ui(at).

    Christos A. Ioannou4/20

  • Discounting

    • Players discount their payoffs with discount factorδ ∈ (0, 1).• This says, that I care more about my payoff in period 1

    than in period 1,000.

    • Let(a1, a2, . . . , aT

    )be the choices for T periods; the

    player’s discounted payoff is then,

    ui(a1)+δui

    (a2)+δ2ui

    (a3)+· · ·+δT−1ui

    (aT)=

    T∑t=1

    δt−1ui(at).

    Christos A. Ioannou4/20

  • Discounting

    • Players discount their payoffs with discount factorδ ∈ (0, 1).• This says, that I care more about my payoff in period 1

    than in period 1,000.

    • Let(a1, a2, . . . , aT

    )be the choices for T periods; the

    player’s discounted payoff is then,

    ui(a1)+δui

    (a2)+δ2ui

    (a3)+· · ·+δT−1ui

    (aT)=

    T∑t=1

    δt−1ui(at).

    Christos A. Ioannou4/20

  • Normalized Discounted Payoffs

    • What is the sum of2 + 2δ + 2δ2 + 2δ3 + · · ·

    • The normalized discounted payoffs for action sequence(a1, a2, . . . , aT

    )is

    Ui(a1, a2, . . . , aT

    )= (1− δ)

    T∑t=1

    δt−1ui(at).

    Christos A. Ioannou5/20

  • Normalized Discounted Payoffs

    • What is the sum of2 + 2δ + 2δ2 + 2δ3 + · · ·

    • The normalized discounted payoffs for action sequence(a1, a2, . . . , aT

    )is

    Ui(a1, a2, . . . , aT

    )= (1− δ)

    T∑t=1

    δt−1ui(at).

    Christos A. Ioannou5/20

  • Normalized Discounted Payoffs

    • What is the sum of2 + 2δ + 2δ2 + 2δ3 + · · ·

    • The normalized discounted payoffs for action sequence(a1, a2, . . . , aT

    )is

    Ui(a1, a2, . . . , aT

    )= (1− δ)

    T∑t=1

    δt−1ui(at).

    Christos A. Ioannou5/20

  • Repeated GameDefinitionLet G be a strategic game. Denote the set of players by Nand the set of actions and payoff function of each player i byAi and ui, respectively. The T -period repeated game of Gfor discount factor δ is the extensive game with perfectinformation and simultaneous moves in which

    • the set of players is N ,• the set of terminal histories is the set of sequences(

    a1, a2, . . . , aT)

    of action profiles in G,

    • the player function assigns all players to all histories,

    • the set of actions for player i after any history is Ai, and

    • each player i evaluates terminal history according tonormalized discounted payoff Ui

    (a1, a2, . . . , aT

    ).

    Christos A. Ioannou6/20

  • Repeated GameDefinitionLet G be a strategic game. Denote the set of players by Nand the set of actions and payoff function of each player i byAi and ui, respectively. The T -period repeated game of Gfor discount factor δ is the extensive game with perfectinformation and simultaneous moves in which

    • the set of players is N ,

    • the set of terminal histories is the set of sequences(a1, a2, . . . , aT

    )of action profiles in G,

    • the player function assigns all players to all histories,

    • the set of actions for player i after any history is Ai, and

    • each player i evaluates terminal history according tonormalized discounted payoff Ui

    (a1, a2, . . . , aT

    ).

    Christos A. Ioannou6/20

  • Repeated GameDefinitionLet G be a strategic game. Denote the set of players by Nand the set of actions and payoff function of each player i byAi and ui, respectively. The T -period repeated game of Gfor discount factor δ is the extensive game with perfectinformation and simultaneous moves in which

    • the set of players is N ,• the set of terminal histories is the set of sequences(

    a1, a2, . . . , aT)

    of action profiles in G,

    • the player function assigns all players to all histories,

    • the set of actions for player i after any history is Ai, and

    • each player i evaluates terminal history according tonormalized discounted payoff Ui

    (a1, a2, . . . , aT

    ).

    Christos A. Ioannou6/20

  • Repeated GameDefinitionLet G be a strategic game. Denote the set of players by Nand the set of actions and payoff function of each player i byAi and ui, respectively. The T -period repeated game of Gfor discount factor δ is the extensive game with perfectinformation and simultaneous moves in which

    • the set of players is N ,• the set of terminal histories is the set of sequences(

    a1, a2, . . . , aT)

    of action profiles in G,

    • the player function assigns all players to all histories,

    • the set of actions for player i after any history is Ai, and

    • each player i evaluates terminal history according tonormalized discounted payoff Ui

    (a1, a2, . . . , aT

    ).

    Christos A. Ioannou6/20

  • Repeated GameDefinitionLet G be a strategic game. Denote the set of players by Nand the set of actions and payoff function of each player i byAi and ui, respectively. The T -period repeated game of Gfor discount factor δ is the extensive game with perfectinformation and simultaneous moves in which

    • the set of players is N ,• the set of terminal histories is the set of sequences(

    a1, a2, . . . , aT)

    of action profiles in G,

    • the player function assigns all players to all histories,

    • the set of actions for player i after any history is Ai, and

    • each player i evaluates terminal history according tonormalized discounted payoff Ui

    (a1, a2, . . . , aT

    ).

    Christos A. Ioannou6/20

  • Repeated GameDefinitionLet G be a strategic game. Denote the set of players by Nand the set of actions and payoff function of each player i byAi and ui, respectively. The T -period repeated game of Gfor discount factor δ is the extensive game with perfectinformation and simultaneous moves in which

    • the set of players is N ,• the set of terminal histories is the set of sequences(

    a1, a2, . . . , aT)

    of action profiles in G,

    • the player function assigns all players to all histories,

    • the set of actions for player i after any history is Ai, and

    • each player i evaluates terminal history according tonormalized discounted payoff Ui

    (a1, a2, . . . , aT

    ).

    Christos A. Ioannou6/20

  • Finitely Repeated Prisoner’s Dilemma

    Christos A. Ioannou7/20

    • Consider the Prisoner’s Dilemma gamefor T = 2.

    • How many terminal histories arethere?

    • How many non-terminal histories arethere?

    • How many strategies are there?• What are the the Nash equilibria?• What are the subgame Perfect Nash

    equilibria?

  • Finitely Repeated Prisoner’s Dilemma

    Christos A. Ioannou8/20

    • Consider the Prisoner’s Dilemma gamefor T > 2.

    • How many terminal histories arethere?

    • How many non-terminal histories arethere?

    • How many strategies are there?• What are the the Nash equilibria?• What are the subgame Perfect Nash

    equilibria?

  • Strategies in the Infinitely-Repeated

    Games• We need to specify an action after every history.

    • Recall the Grim-Trigger strategy; thus,

    si(a1, . . . , at

    )=

    C h = ∅C if (a1j , . . . , a

    tj) = (C, . . . , C)

    D otherwise.

    • It is often useful to represent strategies as a finiteautomaton; that is,

    C DStart

    C

    D

    Any

    Christos A. Ioannou9/20

  • Strategies in the Infinitely-Repeated

    Games• We need to specify an action after every history.• Recall the Grim-Trigger strategy; thus,

    si(a1, . . . , at

    )=

    C h = ∅C if (a1j , . . . , a

    tj) = (C, . . . , C)

    D otherwise.

    • It is often useful to represent strategies as a finiteautomaton; that is,

    C DStart

    C

    D

    Any

    Christos A. Ioannou9/20

  • Strategies in the Infinitely-Repeated

    Games• We need to specify an action after every history.• Recall the Grim-Trigger strategy; thus,

    si(a1, . . . , at

    )=

    C h = ∅C if (a1j , . . . , a

    tj) = (C, . . . , C)

    D otherwise.

    • It is often useful to represent strategies as a finiteautomaton; that is,

    C DStart

    C

    D

    Any

    Christos A. Ioannou9/20

  • Strategies in the Infinitely-Repeated

    Games• We need to specify an action after every history.• Recall the Grim-Trigger strategy; thus,

    si(a1, . . . , at

    )=

    C h = ∅C if (a1j , . . . , a

    tj) = (C, . . . , C)

    D otherwise.

    • It is often useful to represent strategies as a finiteautomaton; that is,

    C DStart

    C

    D

    Any

    Christos A. Ioannou9/20

  • Strategies in the Infinitely-Repeated

    Games (Cont.)• Next, we look at a limited punishment strategy.

    C D D DStart

    C

    D Any Any

    Any

    • Now, consider the popular Tit-For-Tat.

    C DStart

    C

    D

    C

    D

    Christos A. Ioannou10/20

  • Strategies in the Infinitely-Repeated

    Games (Cont.)• Next, we look at a limited punishment strategy.

    C D D DStart

    C

    D Any Any

    Any

    • Now, consider the popular Tit-For-Tat.

    C DStart

    C

    D

    C

    D

    Christos A. Ioannou10/20

  • Strategies in the Infinitely-Repeated

    Games (Cont.)• Next, we look at a limited punishment strategy.

    C D D DStart

    C

    D Any Any

    Any

    • Now, consider the popular Tit-For-Tat.

    C DStart

    C

    D

    C

    D

    Christos A. Ioannou10/20

  • Strategies in the Infinitely-Repeated

    Games (Cont.)• Next, we look at a limited punishment strategy.

    C D D DStart

    C

    D Any Any

    Any

    • Now, consider the popular Tit-For-Tat.

    C DStart

    C

    D

    C

    D

    Christos A. Ioannou10/20

  • Examples of Tit-for-Tat

    Christos A. Ioannou11/20

    High Low

    High

    Low

    20 20 0 35

    35 0 10 10

    • The low price guarantee scheme works as follows.

    1 I set a high price in the first period,

    2 if you lower your price, then, I will lower my price too,

    3 otherwise, if you keep your price high, I will keep my price high.

  • Examples of Tit-for-Tat

    Christos A. Ioannou11/20

    High Low

    High

    Low

    20 20 0 35

    35 0 10 10

    • The low price guarantee scheme works as follows.

    1 I set a high price in the first period,

    2 if you lower your price, then, I will lower my price too,

    3 otherwise, if you keep your price high, I will keep my price high.

  • Examples of Tit-for-Tat

    Christos A. Ioannou11/20

    High Low

    High

    Low

    20 20 0 35

    35 0 10 10

    • The low price guarantee scheme works as follows.

    1 I set a high price in the first period,

    2 if you lower your price, then, I will lower my price too,

    3 otherwise, if you keep your price high, I will keep my price high.

  • Examples of Tit-for-Tat

    Christos A. Ioannou11/20

    High Low

    High

    Low

    20 20 0 35

    35 0 10 10

    • The low price guarantee scheme works as follows.

    1 I set a high price in the first period,

    2 if you lower your price, then, I will lower my price too,

    3 otherwise, if you keep your price high, I will keep my price high.

  • Examples of Tit-for-Tat

    Christos A. Ioannou11/20

    High Low

    High

    Low

    20 20 0 35

    35 0 10 10

    • The low price guarantee scheme works as follows.

    1 I set a high price in the first period,

    2 if you lower your price, then, I will lower my price too,

    3 otherwise, if you keep your price high, I will keep my price high.

  • Examples of Tit-for-Tat

    Christos A. Ioannou11/20

    High Low

    High

    Low

    20 20 0 35

    35 0 10 10

    • The low price guarantee scheme works as follows.

    1 I set a high price in the first period,

    2 if you lower your price, then, I will lower my price too,

    3 otherwise, if you keep your price high, I will keep my price high.

  • Feasible Payoffs

    Christos A. Ioannou12/20

    C D

    C

    D

    2 2 0 3

    3 0 1 1

    What payoffs are possibleas a Nash equilibrium?

  • Feasible Payoffs

    Christos A. Ioannou12/20

    C D

    C

    D

    2 2 0 3

    3 0 1 1

    What payoffs are possibleas a Nash equilibrium?

  • Minmax Payoff

    DefinitionPlayer i’s minmax payoff in a strategic game is

    ui = mina−i∈A−i

    (maxai∈Ai

    ui (ai, a−i)

    ).

    • Alternatively, we have

    ui = mina−i∈A−i

    (BRi (a−i)) .

    • If player 2 tries to punish player 1 forever, this is the bestplayer 1 can do.

    Christos A. Ioannou13/20

  • Minmax Payoff

    DefinitionPlayer i’s minmax payoff in a strategic game is

    ui = mina−i∈A−i

    (maxai∈Ai

    ui (ai, a−i)

    ).

    • Alternatively, we have

    ui = mina−i∈A−i

    (BRi (a−i)) .

    • If player 2 tries to punish player 1 forever, this is the bestplayer 1 can do.

    Christos A. Ioannou13/20

  • Minmax Payoff

    DefinitionPlayer i’s minmax payoff in a strategic game is

    ui = mina−i∈A−i

    (maxai∈Ai

    ui (ai, a−i)

    ).

    • Alternatively, we have

    ui = mina−i∈A−i

    (BRi (a−i)) .

    • If player 2 tries to punish player 1 forever, this is the bestplayer 1 can do.

    Christos A. Ioannou13/20

  • Minmax Payoff

    DefinitionPlayer i’s minmax payoff in a strategic game is

    ui = mina−i∈A−i

    (maxai∈Ai

    ui (ai, a−i)

    ).

    • Alternatively, we have

    ui = mina−i∈A−i

    (BRi (a−i)) .

    • If player 2 tries to punish player 1 forever, this is the bestplayer 1 can do.

    Christos A. Ioannou13/20

  • Example

    Christos A. Ioannou14/20

    • What would happen in this game?

    • In this game:

    • Action A is strictly dominant for Player 1.

    • Action C is strictly dominant for Player 2.

    • Players will repeatedly play (A,C).

    C D

    A

    B

    3,3

    1,2

    2,1

    0,0

  • Example

    Christos A. Ioannou14/20

    • What would happen in this game?

    • In this game:

    • Action A is strictly dominant for Player 1.

    • Action C is strictly dominant for Player 2.

    • Players will repeatedly play (A,C).

    C D

    A

    B

    3,3

    1,2

    2,1

    0,0

  • Example

    Christos A. Ioannou14/20

    • What would happen in this game?

    • In this game:

    • Action A is strictly dominant for Player 1.

    • Action C is strictly dominant for Player 2.

    • Players will repeatedly play (A,C).

    C D

    A

    B

    3,3

    1,2

    2,1

    0,0

  • Example

    Christos A. Ioannou14/20

    • What would happen in this game?

    • In this game:

    • Action A is strictly dominant for Player 1.

    • Action C is strictly dominant for Player 2.

    • Players will repeatedly play (A,C).

    C D

    A

    B

    3,3

    1,2

    2,1

    0,0

  • Example

    Christos A. Ioannou14/20

    • What would happen in this game?

    • In this game:

    • Action A is strictly dominant for Player 1.

    • Action C is strictly dominant for Player 2.

    • Players will repeatedly play (A,C).

    C D

    A

    B

    3,3

    1,2

    2,1

    0,0

  • Example (Cont.)

    Christos A. Ioannou15/20

    1 2 3

    1

    2

    3

    Player 1 Payoff

    Pla

    yer

    2P

    ayoff

    (3, 3)

    (2, 1)

    (1, 2)

    (0, 0)

    Feasible Payoffs

    Individually Rational Payoffs

    Folk Theorem Payoffs

    Experimental Data

  • Example (Cont.)

    Christos A. Ioannou15/20

    1 2 3

    1

    2

    3

    Player 1 Payoff

    Pla

    yer

    2P

    ayoff

    (3, 3)

    (2, 1)

    (1, 2)

    (0, 0)

    Feasible Payoffs

    Individually Rational Payoffs

    Folk Theorem Payoffs

    Experimental Data

  • Example (Cont.)

    Christos A. Ioannou15/20

    1 2 3

    1

    2

    3

    Player 1 Payoff

    Pla

    yer

    2P

    ayoff

    (3, 3)

    (2, 1)

    (1, 2)

    (0, 0)

    Feasible Payoffs

    Individually Rational Payoffs

    Folk Theorem Payoffs

    Experimental Data

  • Example (Cont.)

    Christos A. Ioannou15/20

    1 2 3

    1

    2

    3

    Player 1 Payoff

    Pla

    yer

    2P

    ayoff

    (3, 3)

    (2, 1)

    (1, 2)

    (0, 0)

    Feasible Payoffs

    Individually Rational Payoffs

    Folk Theorem Payoffs

    Experimental Data

  • Example (Cont.)

    Christos A. Ioannou15/20

    1 2 3

    1

    2

    3

    Player 1 Payoff

    Pla

    yer

    2P

    ayoff

    (3, 3)

    (2, 1)

    (1, 2)

    (0, 0)

    Feasible Payoffs

    Individually Rational Payoffs

    Folk Theorem Payoffs

    Experimental Data

  • Minmax examples

    Christos A. Ioannou16/20

    C D

    C

    D

    2 2 0 3

    3 0 1 1

    C D

    C

    D

    3 3 1 4

    4 1 0 0

    C D

    C

    D

    1 1 2 4

    4 2 1 1

  • Folk Theorem

    Christos A. Ioannou17/20

    C D

    C

    D

    2 2 0 3

    3 0 1 1

    Folk Theorem

    Any payoff (v1, v2) where both v1 > u1 and v2 > u2,can be supported as a Nash equilibrium if players aresufficiently patient.

  • Folk Theorem

    Christos A. Ioannou17/20

    C D

    C

    D

    2 2 0 3

    3 0 1 1

    Folk Theorem

    Any payoff (v1, v2) where both v1 > u1 and v2 > u2,can be supported as a Nash equilibrium if players aresufficiently patient.

  • Folk Theorem

    Christos A. Ioannou17/20

    C D

    C

    D

    2 2 0 3

    3 0 1 1

    Folk Theorem

    Any payoff (v1, v2) where both v1 > u1 and v2 > u2,can be supported as a Nash equilibrium if players aresufficiently patient.

  • Folk Theorem (Cont.)

    Christos A. Ioannou18/20

    C D

    C

    D

    3 3 1 4

    4 1 0 0

  • Folk Theorem (Cont.)

    Christos A. Ioannou19/20

    C D

    C

    D

    1 1 2 4

    4 2 1 1

  • Folk Theorem (Example)

    C C D

    D

    Start

    DD

    D

    C C

    Any

    C

    C C C

    D

    Start

    DD

    C

    C C

    Any

    D

    Christos A. Ioannou20/20

  • Folk Theorem (Example)

    C C D

    D

    Start

    DD

    D

    C C

    Any

    C

    C C C

    D

    Start

    DD

    C

    C C

    Any

    D

    Christos A. Ioannou20/20