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Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/epacuit [email protected] December 1, 2010 Eric Pacuit: Rationality (Lecture 14) 1/33
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Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

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Page 1: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

RationalityLecture 14

Eric Pacuit

Center for Logic and Philosophy of ScienceTilburg University

ai.stanford.edu/∼[email protected]

December 1, 2010

Eric Pacuit: Rationality (Lecture 14) 1/33

Page 2: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Bob

Ann

U D C

D 4,4 1,3 U

C 3,1 2,2 U

Assurance Game

What should/will Ann (Bob) do?

Eric Pacuit: Rationality (Lecture 14) 2/33

Page 3: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Bob

Ann

U D C

D 4,4 1,3 U

C 3,1 2,2 U

Assurance Game

What should/will Ann (Bob) do?

Eric Pacuit: Rationality (Lecture 14) 2/33

Page 4: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Bob

Ann

U D C

D 3,3 1,4 U

C 4,1 2,2 U

Prisoner’s Dilemma

Bob

Ann

U D C

D 4,4 1,3 U

C 3,1 2,2 U

Assurance Game

What should/will Ann (Bob) do?

Eric Pacuit: Rationality (Lecture 14) 2/33

Page 5: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Nozick: Symbolic Utility

“Yet the symbolic value of an act is not determined solely by thatact.

The act’s meaning can depend upon what other acts areavailable with what payoffs and what acts also are available to theother party or parties. What the act symbolizes is something itsymbolizes when done in that particular situation, in preference tothose particular alternatives. If an act symbolizes “being acooperative person,” it will have that meaning not simply becauseit has the two possible payoffs it does but also because it occupiesa particular position within the two-person matrix — that is, beinga dominated action that (when joined with the other person’sdominated action) yield a higher payoff to each than does thecombination of dominated actions. ” (pg. 55)

R. Nozick. The Nature of Rationality. Princeton University Press, 1993.

Eric Pacuit: Rationality (Lecture 14) 3/33

Page 6: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Nozick: Symbolic Utility

“Yet the symbolic value of an act is not determined solely by thatact. The act’s meaning can depend upon what other acts areavailable with what payoffs and what acts also are available to theother party or parties.

What the act symbolizes is something itsymbolizes when done in that particular situation, in preference tothose particular alternatives. If an act symbolizes “being acooperative person,” it will have that meaning not simply becauseit has the two possible payoffs it does but also because it occupiesa particular position within the two-person matrix — that is, beinga dominated action that (when joined with the other person’sdominated action) yield a higher payoff to each than does thecombination of dominated actions. ” (pg. 55)

R. Nozick. The Nature of Rationality. Princeton University Press, 1993.

Eric Pacuit: Rationality (Lecture 14) 3/33

Page 7: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Nozick: Symbolic Utility

“Yet the symbolic value of an act is not determined solely by thatact. The act’s meaning can depend upon what other acts areavailable with what payoffs and what acts also are available to theother party or parties. What the act symbolizes is something itsymbolizes when done in that particular situation, in preference tothose particular alternatives.

If an act symbolizes “being acooperative person,” it will have that meaning not simply becauseit has the two possible payoffs it does but also because it occupiesa particular position within the two-person matrix — that is, beinga dominated action that (when joined with the other person’sdominated action) yield a higher payoff to each than does thecombination of dominated actions. ” (pg. 55)

R. Nozick. The Nature of Rationality. Princeton University Press, 1993.

Eric Pacuit: Rationality (Lecture 14) 3/33

Page 8: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Nozick: Symbolic Utility

“Yet the symbolic value of an act is not determined solely by thatact. The act’s meaning can depend upon what other acts areavailable with what payoffs and what acts also are available to theother party or parties. What the act symbolizes is something itsymbolizes when done in that particular situation, in preference tothose particular alternatives. If an act symbolizes “being acooperative person,” it will have that meaning not simply becauseit has the two possible payoffs it does

but also because it occupiesa particular position within the two-person matrix — that is, beinga dominated action that (when joined with the other person’sdominated action) yield a higher payoff to each than does thecombination of dominated actions. ” (pg. 55)

R. Nozick. The Nature of Rationality. Princeton University Press, 1993.

Eric Pacuit: Rationality (Lecture 14) 3/33

Page 9: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Nozick: Symbolic Utility

“Yet the symbolic value of an act is not determined solely by thatact. The act’s meaning can depend upon what other acts areavailable with what payoffs and what acts also are available to theother party or parties. What the act symbolizes is something itsymbolizes when done in that particular situation, in preference tothose particular alternatives. If an act symbolizes “being acooperative person,” it will have that meaning not simply becauseit has the two possible payoffs it does but also because it occupiesa particular position within the two-person matrix — that is, beinga dominated action that (when joined with the other person’sdominated action) yield a higher payoff to each than does thecombination of dominated actions. ” (pg. 55)

R. Nozick. The Nature of Rationality. Princeton University Press, 1993.

Eric Pacuit: Rationality (Lecture 14) 3/33

Page 10: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

BobA

nn

U D C

D 3,3 1,4 U

C 4,1 2,2 U

Prisoner’s Dilemma

A

B B

3,3 1,4 4,1 2,2

D C

D C D C

What should/will Ann (Bob) do?

Eric Pacuit: Rationality (Lecture 14) 4/33

Page 11: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

BobA

nn

U D C

D 3,3 1,4 U

C 4,1 2,2 U

Prisoner’s Dilemma

A

B B

3,3 1,4 4,1 2,2

D C

D C D C

What should/will Ann (Bob) do?

Eric Pacuit: Rationality (Lecture 14) 4/33

Page 12: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

BobA

nn

U D C

D 3,3 1,4 U

C 4,1 2,2 U

Prisoner’s Dilemma

A

B B

3,3 1,4 4,1 2,2

D C

D C D C

What should/will Ann (Bob) do?

Eric Pacuit: Rationality (Lecture 14) 4/33

Page 13: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

BobA

nn

U D C

D 3,3 1,4 U

C 4,1 2,2 U

Prisoner’s Dilemma

A

B B

3,3 1,4 4,1 2,2

D C

D C D C

What should/will Ann (Bob) do?

Eric Pacuit: Rationality (Lecture 14) 4/33

Page 14: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

BobA

nn

U D C

D 3,3 1,4 U

C 4,1 2,2 U

Prisoner’s Dilemma

A

B B

3,3 1,4 4,1 2,2

D C

D C D C

What should/will Ann (Bob) do?

Eric Pacuit: Rationality (Lecture 14) 4/33

Page 15: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

BobA

nn

U D C

D 3,3 1,4 U

C 4,1 2,2 U

Prisoner’s Dilemma

A

B B

3,3 1,4 4,1 2,2

D C

D C D C

<

>

What should/will Ann (Bob) do?

Eric Pacuit: Rationality (Lecture 14) 4/33

Page 16: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

BobA

nn

U D C

D 3,3 1,4 U

C 4,1 2,2 U

Prisoner’s Dilemma

A

B B

3,4 1,3 4,1 2,2

D C

D C D C

<

>

<

<

What should/will Ann (Bob) do?

Eric Pacuit: Rationality (Lecture 14) 4/33

Page 17: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

BobA

nn

U D C

D 3,3 1,4 U

C 4,1 2,2 U

Prisoner’s Dilemma

A

B B

3,4 1,3 4,1 2,2

D C

D C D C

>

What should/will Ann (Bob) do?

Eric Pacuit: Rationality (Lecture 14) 4/33

Page 18: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

BobA

nn

U D C

D 3,3 1,4 U

C 4,1 2,2 U

Prisoner’s Dilemma

A

B B

4,4 1,3 3,1 2,2

D C

D C D C

What should/will Ann (Bob) do?

Eric Pacuit: Rationality (Lecture 14) 4/33

Page 19: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

“Game theorists think it just plain wrong to claim that thePrisoners’ Dilemma embodies the essence of the problem of humancooperation.

On the contrary, it represents a situation in which thedice are as loaded against the emergence of cooperation as theycould possibly be. If the great game of life played by the humspecies were the Prisoner’s Dilemma, we wouldn’t have evolved associal animals! .... No paradox of rationality exists. Rationalplayers don’t cooperate in the Prisoners’ Dilemma, because theconditions necessary for rational cooperation are absent in thisgame.” (pg. 63)

K. Binmore. Natural Justice. Oxford University Press, 2005.

Eric Pacuit: Rationality (Lecture 14) 5/33

Page 20: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

“Game theorists think it just plain wrong to claim that thePrisoners’ Dilemma embodies the essence of the problem of humancooperation. On the contrary, it represents a situation in which thedice are as loaded against the emergence of cooperation as theycould possibly be. If the great game of life played by the humspecies were the Prisoner’s Dilemma, we wouldn’t have evolved associal animals!

.... No paradox of rationality exists. Rationalplayers don’t cooperate in the Prisoners’ Dilemma, because theconditions necessary for rational cooperation are absent in thisgame.” (pg. 63)

K. Binmore. Natural Justice. Oxford University Press, 2005.

Eric Pacuit: Rationality (Lecture 14) 5/33

Page 21: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

“Game theorists think it just plain wrong to claim that thePrisoners’ Dilemma embodies the essence of the problem of humancooperation. On the contrary, it represents a situation in which thedice are as loaded against the emergence of cooperation as theycould possibly be. If the great game of life played by the humspecies were the Prisoner’s Dilemma, we wouldn’t have evolved associal animals! .... No paradox of rationality exists. Rationalplayers don’t cooperate in the Prisoners’ Dilemma, because theconditions necessary for rational cooperation are absent in thisgame.” (pg. 63)

K. Binmore. Natural Justice. Oxford University Press, 2005.

Eric Pacuit: Rationality (Lecture 14) 5/33

Page 22: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Hi-Low

Bob

Ann

U D C

D 3,3 0,0 U

C 0,0 1,1 U

Assurance Game

What should/will Ann (Bob) do?

Eric Pacuit: Rationality (Lecture 14) 6/33

Page 23: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

N. Bardsley, J. Mehta, C. Starmer and R. Sugden. The Nature of SalienceRevisited: Cognitive Hierarch Theory versus Team Reasoning. Economic Journal.

{water , beer , sherry ,whisky ,wine}

Task 1: pick an optionTask 2: guess what your opponent pickedTask 3: try to coordinate with your (unknown) partner

pick guess coordinatewater 20 15 38beer 13 26 11sherry 4 1 0whisky 6 6 5wine 10 4 2

Eric Pacuit: Rationality (Lecture 14) 7/33

Page 24: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

N. Bardsley, J. Mehta, C. Starmer and R. Sugden. The Nature of SalienceRevisited: Cognitive Hierarch Theory versus Team Reasoning. Economic Journal.

{water , beer , sherry ,whisky ,wine}

Task 1: pick an optionTask 2: guess what your opponent pickedTask 3: try to coordinate with your (unknown) partner

pick guess coordinatewater 20 15 38beer 13 26 11sherry 4 1 0whisky 6 6 5wine 10 4 2

Eric Pacuit: Rationality (Lecture 14) 7/33

Page 25: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

N. Bardsley, J. Mehta, C. Starmer and R. Sugden. The Nature of SalienceRevisited: Cognitive Hierarch Theory versus Team Reasoning. Economic Journal.

{water , beer , sherry ,whisky ,wine}

Task 1: pick an optionTask 2: guess what your opponent pickedTask 3: try to coordinate with your (unknown) partner

pick guess coordinatewater 20 15 38beer 13 26 11sherry 4 1 0whisky 6 6 5wine 10 4 2

Eric Pacuit: Rationality (Lecture 14) 7/33

Page 26: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

N. Bardsley, J. Mehta, C. Starmer and R. Sugden. The Nature of SalienceRevisited: Cognitive Hierarch Theory versus Team Reasoning. Economic Journal.

{water, beer , sherry ,whisky ,wine}

Task 1: pick an optionTask 2: guess what your opponent pickedTask 3: try to coordinate with your (unknown) partner

pick guess coordinatewater 20 15 38beer 13 26 11sherry 4 1 0whisky 6 6 5wine 10 4 2

Eric Pacuit: Rationality (Lecture 14) 7/33

Page 27: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

N. Bardsley, J. Mehta, C. Starmer and R. Sugden. The Nature of SalienceRevisited: Cognitive Hierarch Theory versus Team Reasoning. Economic Journal.

{water, beer , sherry ,whisky ,wine}

Task 1: pick an optionTask 2: guess what your opponent pickedTask 3: try to coordinate with your (unknown) partner

pick guess coordinatewater 20 15 38beer 13 26 11sherry 4 1 0whisky 6 6 5wine 10 4 2

Eric Pacuit: Rationality (Lecture 14) 7/33

Page 28: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

N. Bardsley, J. Mehta, C. Starmer and R. Sugden. The Nature of SalienceRevisited: Cognitive Hierarch Theory versus Team Reasoning. Economic Journal.

{water, beer , sherry ,whisky ,wine}

Task 1: pick an optionTask 2: guess what your opponent pickedTask 3: try to coordinate with your (unknown) partner

pick guess coordinatewater 20 15 38beer 13 26 11sherry 4 1 0whisky 6 6 5wine 10 4 2

Eric Pacuit: Rationality (Lecture 14) 7/33

Page 29: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

N. Bardsley, J. Mehta, C. Starmer and R. Sugden. The Nature of SalienceRevisited: Cognitive Hierarch Theory versus Team Reasoning. Economic Journal.

{water, beer , sherry ,whisky ,wine}

Task 1: pick an optionTask 2: guess what your opponent pickedTask 3: try to coordinate with your (unknown) partner

pick guess coordinate

water 20 15 38beer 13 26 11sherry 4 1 0whisky 6 6 5wine 10 4 2

Eric Pacuit: Rationality (Lecture 14) 7/33

Page 30: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Footballer Example

A and B are players in the same football team. A has the ball, butan opposing player is converging on him. He can pass the ball toB, who has a chance to shoot. There are two directions in which Acan move the ball, left and right, and correspondingly, twodirections in which B can run to intercept the pass. If both chooseleft there is a 10% chance that a goal will be scored. If they bothchoose right, there is a 11% change. Otherwise, the chance iszero. There is no time for communication; the two players mustact simultaneously.

What should they do?

R. Sugden. The Logic of Team Reasoning. Philosophical Explorations (6)3, pgs.165 - 181 (2003).

Eric Pacuit: Rationality (Lecture 14) 8/33

Page 31: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

l r

l (10,10) (00,00)

r (00,00) (11,11)R

ow

Column

Row: What should I do? (r if the probability of Column choosingr is > 10

21 and l if the probability of Column choosing l is > 1121)

Eric Pacuit: Rationality (Lecture 14) 9/33

Page 32: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

l r

l (10,10) (00,00)

r (00,00) (11,11)R

ow

Column

Row: What should I do? (r if the probability of Column choosingr is > 10

21 and l if the probability of Column choosing l is > 1121)

Eric Pacuit: Rationality (Lecture 14) 9/33

Page 33: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

l r

l (10,10) (00,00)

r (00,00) (11,11)R

ow

Column

Row: What should I do? (r if the probability of Column choosingr is > 10

21 and l if the probability of Column choosing l is > 1121)

Eric Pacuit: Rationality (Lecture 14) 9/33

Page 34: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

l r

l (10,10) (00,00)

r (00,00) (11,11)R

ow

Column

Row: What should I do? (r if the probability of Column choosingr is > 10

21 and l if the probability of Column choosing l is > 1121)

Eric Pacuit: Rationality (Lecture 14) 9/33

Page 35: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

l r

l (10,10) (00,00)

r (00,00) (11,11)R

ow

Column

Row: What should we do?

Eric Pacuit: Rationality (Lecture 14) 9/33

Page 36: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

l r

l (10,10) (00,00)

r (00,00) (11,11)R

ow

Column

Team Reasoning: escape from the infinite regress? why shouldthis “mode of reasoning” be endorsed?

Eric Pacuit: Rationality (Lecture 14) 9/33

Page 37: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

“The basic intellectual premise, or working hypothesis, for rationalplayers in this game seems to be the premise that some rule mustbe used if success is to exceed coincidence, and that the best ruleto be found, whatever its rationalization, is consequently a rationalrule.” (Thomas Schelling)

Eric Pacuit: Rationality (Lecture 14) 10/33

Page 38: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Rationality in Interaction

What does it mean to be rational when the outcome of one’saction depends upon the actions of other people and everyone istrying to guess what the others will do?

In social interaction, rationality has to be enriched with furtherassumptions about individuals’ mutual knowledge and beliefs,but these assumptions are not without consequence.

C. Bicchieri. Rationality and Game Theory. Chapter 10 in [HR].

Eric Pacuit: Rationality (Lecture 14) 11/33

Page 39: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Rationality in Interaction

What does it mean to be rational when the outcome of one’saction depends upon the actions of other people and everyone istrying to guess what the others will do?

In social interaction, rationality has to be enriched with furtherassumptions about individuals’ mutual knowledge and beliefs,but these assumptions are not without consequence.

C. Bicchieri. Rationality and Game Theory. Chapter 10 in [HR].

Eric Pacuit: Rationality (Lecture 14) 11/33

Page 40: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Example: Common Knowledge

Suppose there are two friends Ann and Bob are on a bus separatedby a crowd.

Before the bus comes to the next stop a mutual friendfrom outside the bus yells “get off at the next stop to get adrink?”.

Say Ann is standing near the front door and Bob near the backdoor. When the bus comes to a stop, will they get off?

D. Lewis. Convention. 1969.

M. Chwe. Rational Ritual. 2001.

Eric Pacuit: Rationality (Lecture 14) 12/33

Page 41: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Example: Common Knowledge

Suppose there are two friends Ann and Bob are on a bus separatedby a crowd. Before the bus comes to the next stop a mutual friendfrom outside the bus yells “get off at the next stop to get adrink?”.

Say Ann is standing near the front door and Bob near the backdoor. When the bus comes to a stop, will they get off?

D. Lewis. Convention. 1969.

M. Chwe. Rational Ritual. 2001.

Eric Pacuit: Rationality (Lecture 14) 12/33

Page 42: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Example: Common Knowledge

Suppose there are two friends Ann and Bob are on a bus separatedby a crowd. Before the bus comes to the next stop a mutual friendfrom outside the bus yells “get off at the next stop to get adrink?”.

Say Ann is standing near the front door and Bob near the backdoor.

When the bus comes to a stop, will they get off?

D. Lewis. Convention. 1969.

M. Chwe. Rational Ritual. 2001.

Eric Pacuit: Rationality (Lecture 14) 12/33

Page 43: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Example: Common Knowledge

Suppose there are two friends Ann and Bob are on a bus separatedby a crowd. Before the bus comes to the next stop a mutual friendfrom outside the bus yells “get off at the next stop to get adrink?”.

Say Ann is standing near the front door and Bob near the backdoor. When the bus comes to a stop, will they get off?

D. Lewis. Convention. 1969.

M. Chwe. Rational Ritual. 2001.

Eric Pacuit: Rationality (Lecture 14) 12/33

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Example: Common Knowledge

Suppose there are two friends Ann and Bob are on a bus separatedby a crowd. Before the bus comes to the next stop a mutual friendfrom outside the bus yells “get off at the next stop to get adrink?”.

Say Ann is standing near the front door and Bob near the backdoor. When the bus comes to a stop, will they get off?

D. Lewis. Convention. 1969.

M. Chwe. Rational Ritual. 2001.

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“Common Knowledge” is informally described as what any foolwould know, given a certain situation: It encompasses what isrelevant, agreed upon, established by precedent, assumed, beingattended to, salient, or in the conversational record.

It is not Common Knowledge who “(formally) defined” CommonKnowledge!

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“Common Knowledge” is informally described as what any foolwould know, given a certain situation: It encompasses what isrelevant, agreed upon, established by precedent, assumed, beingattended to, salient, or in the conversational record.

It is not Common Knowledge who “(formally) defined” CommonKnowledge!

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The first formal definition of common knowledge?M. Friedell. On the Structure of Shared Awareness. Behavioral Science (1969).

R. Aumann. Agreeing to Disagree. Annals of Statistics (1976).

The first rigorous analysis of common knowledgeD. Lewis. Convention, A Philosophical Study. 1969.

Fixed-point definition: γ := i and j know that (ϕ and γ)G. Harman. Review of Linguistic Behavior. Language (1977).

J. Barwise. Three views of Common Knowledge. TARK (1987).

Shared situation: There is a shared situation s such that (1) sentails ϕ, (2) s entails everyone knows ϕ, plus other conditionsH. Clark and C. Marshall. Definite Reference and Mutual Knowledge. 1981.

M. Gilbert. On Social Facts. Princeton University Press (1989).

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The first formal definition of common knowledge?M. Friedell. On the Structure of Shared Awareness. Behavioral Science (1969).

R. Aumann. Agreeing to Disagree. Annals of Statistics (1976).

The first rigorous analysis of common knowledgeD. Lewis. Convention, A Philosophical Study. 1969.

Fixed-point definition: γ := i and j know that (ϕ and γ)G. Harman. Review of Linguistic Behavior. Language (1977).

J. Barwise. Three views of Common Knowledge. TARK (1987).

Shared situation: There is a shared situation s such that (1) sentails ϕ, (2) s entails everyone knows ϕ, plus other conditionsH. Clark and C. Marshall. Definite Reference and Mutual Knowledge. 1981.

M. Gilbert. On Social Facts. Princeton University Press (1989).

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The first formal definition of common knowledge?M. Friedell. On the Structure of Shared Awareness. Behavioral Science (1969).

R. Aumann. Agreeing to Disagree. Annals of Statistics (1976).

The first rigorous analysis of common knowledgeD. Lewis. Convention, A Philosophical Study. 1969.

Fixed-point definition: γ := i and j know that (ϕ and γ)G. Harman. Review of Linguistic Behavior. Language (1977).

J. Barwise. Three views of Common Knowledge. TARK (1987).

Shared situation: There is a shared situation s such that (1) sentails ϕ, (2) s entails everyone knows ϕ, plus other conditionsH. Clark and C. Marshall. Definite Reference and Mutual Knowledge. 1981.

M. Gilbert. On Social Facts. Princeton University Press (1989).

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The first formal definition of common knowledge?M. Friedell. On the Structure of Shared Awareness. Behavioral Science (1969).

R. Aumann. Agreeing to Disagree. Annals of Statistics (1976).

The first rigorous analysis of common knowledgeD. Lewis. Convention, A Philosophical Study. 1969.

Fixed-point definition: γ := i and j know that (ϕ and γ)G. Harman. Review of Linguistic Behavior. Language (1977).

J. Barwise. Three views of Common Knowledge. TARK (1987).

Shared situation: There is a shared situation s such that (1) sentails ϕ, (2) s entails everyone knows ϕ, plus other conditionsH. Clark and C. Marshall. Definite Reference and Mutual Knowledge. 1981.

M. Gilbert. On Social Facts. Princeton University Press (1989).

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P. Vanderschraaf and G. Sillari. “Common Knowledge”, The Stanford Encyclo-pedia of Philosophy (2009).http://plato.stanford.edu/entries/common-knowledge/.

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Suppose you are told “Ann and Bob are going together,”’and respond “sure, that’s common knowledge.” Whatyou mean is not only that everyone knows this, but alsothat the announcement is pointless, occasions nosurprise, reveals nothing new; in effect, that the situationafter the announcement does not differ from that before....the event “Ann and Bob are going together” — call itE — is common knowledge if and only if some event —call it F — happened that entails E and also entails allplayers’ knowing F (like all players met Ann and Bob atan intimate party). (Aumann, pg. 271, footnote 8)

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Key Assumptions

CK1 The structure of the game, including players’ strategy sets andpayoff functions, is common knowledge among the players.

CK2 The players are rational (i.e., they are expected utilitymaximizers) and this is common knowledge.

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Common Knowledge of Rationality: Iterated Removal ofStrictly Dominated Strategies

Bob

AnnU L R

U 1,2 0,1 U

D 0,1 1,0 U

There is no prior such that R is rational for Bob.

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Common Knowledge of Rationality: Iterated Removal ofStrictly Dominated Strategies

Bob

AnnU L R

U 1,2 0,1 U

D 0,1 1,0 U

There is no prior such that R is rational for Bob.

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Common Knowledge of Rationality: Iterated Removal ofStrictly Dominated Strategies

Bob

AnnU L R

U 1,2 0,1 U

D 0,1 1,0 U

If Ann knows this, then she does not consider R a option for Bob

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Common Knowledge of Rationality: Iterated Removal ofStrictly Dominated Strategies

Bob

AnnU L R

U 1,2 0,1 U

D 0,1 1,0 U

So, U is the only rational choice.

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Common knowledge of rationality (players will not choose strictlydominated actions) leads to a process of iterated removal ofstrictly dominated strategies.

What about weak dominance?

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Common knowledge of rationality (players will not choose strictlydominated actions) leads to a process of iterated removal ofstrictly dominated strategies.

What about weak dominance?

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Weak Dominance

A

B

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Weak Dominance

A

B

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Weak Dominance

A

B

> = > = =

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Iterated Admissibility

L R

U 1,1 0,1

D 0,2 1,0

Suppose rationality incorporates weak dominance (i.e.,admissibility or cautiousness).

1. Both Row and Column should use a full-support probabilitymeasure

2. But if Row thinks that Column is rational then should shenot assign probability 1 to L?

The condition that the players incorporate admissibility into theirrationality calculations seems to conflict with the condition thatthe players think the other players are rational (there is a tensionbetween admissibility and strategic reasoning)

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Iterated Admissibility

L R

U 1,1 0,1

D 0,2 1,0

Suppose rationality incorporates weak dominance (i.e.,admissibility or cautiousness).

1. Both Row and Column should use a full-support probabilitymeasure

2. But if Row thinks that Column is rational then should shenot assign probability 1 to L?

The condition that the players incorporate admissibility into theirrationality calculations seems to conflict with the condition thatthe players think the other players are rational (there is a tensionbetween admissibility and strategic reasoning)

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Iterated Admissibility

L R

U 1,1 0,1

D 0,2 1,0

Suppose rationality incorporates weak dominance (i.e.,admissibility or cautiousness).

1. Both Row and Column should use a full-support probabilitymeasure

2. But if Row thinks that Column is rational then should shenot assign probability 1 to L?

The condition that the players incorporate admissibility into theirrationality calculations seems to conflict with the condition thatthe players think the other players are rational (there is a tensionbetween admissibility and strategic reasoning)

Eric Pacuit: Rationality (Lecture 14) 20/33

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Iterated Admissibility

L R

U 1,1 0,1

D 0,2 1,0

Suppose rationality incorporates weak dominance (i.e.,admissibility or cautiousness).

1. Both Row and Column should use a full-support probabilitymeasure

2. But if Row thinks that Column is rational then should shenot assign probability 1 to L?

The condition that the players incorporate admissibility into theirrationality calculations seems to conflict with the condition thatthe players think the other players are rational (there is a tensionbetween admissibility and strategic reasoning)

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Iterated Removal of Weakly Dominated Strategies

Bob

Ann

T L R

T 1,1 1,0 U

B 1,0 0,1 U

T weakly dominates B

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Iterated Removal of Weakly Dominated Strategies

Bob

Ann

T L R

T 1,1 1,0 U

B 1,0 0,1 U

T weakly dominates B

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Iterated Removal of Weakly Dominated Strategies

Bob

Ann

T L R

T 1,1 1,0 U

B 1,0 0,1 U

Then L strictly dominates R.

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Iterated Removal of Weakly Dominated Strategies

Bob

Ann

T L R

T 1,1 1,0 U

B 1,0 0,1 U

The IA set

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Iterated Removal of Weakly Dominated Strategies

Bob

Ann

T L R

T 1,1 1,0 U

B 1,0 0,1 U

But, now what is the reason for not playing B?

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Backwards Induction

Invented by Zermelo, Backwards Induction is an iterative algorithmfor “solving” and extensive game.

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(1, 0) (2, 3) (1, 5) A

(3, 1) (4, 4)

B B

A

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(1, 0) (2, 3) (1, 5) A

(3, 1) (4, 4)

B B

A

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(1, 0) (2, 3) (1, 5) (4, 4)

(3, 1) (4, 4)

B B

A

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(1, 0) (2, 3) (1, 5) (4, 4)

(3, 1) (4, 4)

B B

A

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(1, 0) (2, 3) (1, 5) (4, 4)

(3, 1) (4, 4)

(2, 3) B

A

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(1, 0) (2, 3) (1, 5) (4, 4)

(3, 1) (4, 4)

(2, 3) B

A

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(1, 0) (2, 3) (1, 5) (4, 4)

(3, 1) (4, 4)

(2, 3) (1, 5)

A

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(1, 0) (2, 3) (1, 5) (4, 4)

(3, 1) (4, 4)

(2, 3) (1, 5)

A

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(1, 0) (2, 3) (1, 5) (4, 4)

(3, 1) (4, 4)

(2, 3) (1, 5)

(2, 3)

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(1, 0) (2, 3) (1, 5) A

(3, 1) (4, 4)

B B

A

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(1, 0) (2, 3) (1, 5) A

(3, 1) (4, 4)

B B

A

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BI Puzzle

A B A

(2,1) (1,6) (7,5)

(6,6)R1 r R2

D1 d D2

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BI Puzzle

A B A

(2,1) (1,6) (7,5)

(6,6)R1 r R2

D1 d D2

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BI Puzzle

A B (7,5)

(2,1) (1,6) (7,5)

(6,6)R1 r

D1 d

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BI Puzzle

A B (7,5)

(2,1) (1,6) (7,5)

(6,6)R1 r

D1 d

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BI Puzzle

A (1,6) (7,5)

(2,1) (1,6) (7,5)

(6,6)R1

D1

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BI Puzzle

A (1,6) (7,5)

(2,1) (1,6) (7,5)

(6,6)R1

D1

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BI Puzzle

A (1,6) (7,5)

(2,1) (1,6) (7,5)

(6,6)

D1

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BI Puzzle

A B A

(2,1) (1,6) (7,5)

(6,6)R1 r R2

D1 d D2

Eric Pacuit: Rationality (Lecture 14) 24/33

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But what if...

A B A

(2,1) (1,6) (7,5)

(6,6)R1 r R2

D1 d D2

I Are the players irrational?

I What argument leads to the BI solution?

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But what if...

A B A

(2,1) (1,6) (7,5)

(6,6)R1 r R2

D1 d D2

I Are the players irrational?

I What argument leads to the BI solution?

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Repeated Prisoner’s Dilemma

C D

C 3,3 0,4D 4,0 1,1

What about “tit-for-tat”?

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Repeated Prisoner’s Dilemma

C D

C 3,3 0,4D 4,0 1,1

What about “tit-for-tat”?

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Repeated Prisoner’s Dilemma

C DC 3,3 0,4D 4,0 1,1

C DC 3,3 0,4D 4,0 1,1

C DC 3,3 0,4D 4,0 1,1

C DC 3,3 0,4D 4,0 1,1

· · ·

What about “tit-for-tat”?

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Repeated Prisoner’s Dilemma

C DC 3,3 0,4D 4,0 1,1

C DC 3,3 0,4D 4,0 1,1

C DC 3,3 0,4D 4,0 1,1

C DC 3,3 0,4D 4,0 1,1

· · ·

What about “tit-for-tat”?

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Repeated Prisoner’s Dilemma

C DC 3,3 0,4D 4,0 1,1

C DC 3,3 0,4D 4,0 1,1

C DC 3,3 0,4D 4,0 1,1

C DC 3,3 0,4D 4,0 1,1

· · ·

What about “tit-for-tat”?

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Repeated Prisoner’s Dilemma

C DC 3,3 0,4D 4,0 1,1

C DC 3,3 0,4D 4,0 1,1

C DC 3,3 0,4D 4,0 1,1

C DC 3,3 0,4D 4,0 1,1

· · ·

What about “tit-for-tat”?

Eric Pacuit: Rationality (Lecture 14) 26/33

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Repeated Prisoner’s Dilemma

C DC 3,3 0,4D 4,0 1,1

C DC 3,3 0,4D 4,0 1,1

C DC 3,3 0,4D 4,0 1,1

C DC 3,3 0,4D 4,0 1,1

· · ·

What about “tit-for-tat”?

Eric Pacuit: Rationality (Lecture 14) 26/33

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Is anything missing in these models?

Eric Pacuit: Rationality (Lecture 14) 27/33

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Formally, a game is described by its strategy sets and payofffunctions.

But in real life, may other parameters are relevant; thereis a lot more going on. Situations that substantively are vastlydifferent may nevertheless correspond to precisely the samestrategic game. For example, in a parliamentary democracy withthree parties, the winning coalitions are the same whether theparties hold a third of the seats, or, say, 49%, 39%, and 12%respectively. But the political situations are quite different. Thedifference lies in the attitudes of the players, in their expectationsabout each other, in custom, and in history, though the rules ofthe game do not distinguish between the two situations.

R. Aumann and J. H. Dreze. Rational Expectation in Games. American Eco-nomic Review (2008).

Eric Pacuit: Rationality (Lecture 14) 28/33

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Formally, a game is described by its strategy sets and payofffunctions. But in real life, may other parameters are relevant; thereis a lot more going on. Situations that substantively are vastlydifferent may nevertheless correspond to precisely the samestrategic game.

For example, in a parliamentary democracy withthree parties, the winning coalitions are the same whether theparties hold a third of the seats, or, say, 49%, 39%, and 12%respectively. But the political situations are quite different. Thedifference lies in the attitudes of the players, in their expectationsabout each other, in custom, and in history, though the rules ofthe game do not distinguish between the two situations.

R. Aumann and J. H. Dreze. Rational Expectation in Games. American Eco-nomic Review (2008).

Eric Pacuit: Rationality (Lecture 14) 28/33

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Formally, a game is described by its strategy sets and payofffunctions. But in real life, may other parameters are relevant; thereis a lot more going on. Situations that substantively are vastlydifferent may nevertheless correspond to precisely the samestrategic game. For example, in a parliamentary democracy withthree parties, the winning coalitions are the same whether theparties hold a third of the seats, or, say, 49%, 39%, and 12%respectively.

But the political situations are quite different. Thedifference lies in the attitudes of the players, in their expectationsabout each other, in custom, and in history, though the rules ofthe game do not distinguish between the two situations.

R. Aumann and J. H. Dreze. Rational Expectation in Games. American Eco-nomic Review (2008).

Eric Pacuit: Rationality (Lecture 14) 28/33

Page 105: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Formally, a game is described by its strategy sets and payofffunctions. But in real life, may other parameters are relevant; thereis a lot more going on. Situations that substantively are vastlydifferent may nevertheless correspond to precisely the samestrategic game. For example, in a parliamentary democracy withthree parties, the winning coalitions are the same whether theparties hold a third of the seats, or, say, 49%, 39%, and 12%respectively. But the political situations are quite different.

Thedifference lies in the attitudes of the players, in their expectationsabout each other, in custom, and in history, though the rules ofthe game do not distinguish between the two situations.

R. Aumann and J. H. Dreze. Rational Expectation in Games. American Eco-nomic Review (2008).

Eric Pacuit: Rationality (Lecture 14) 28/33

Page 106: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Formally, a game is described by its strategy sets and payofffunctions. But in real life, may other parameters are relevant; thereis a lot more going on. Situations that substantively are vastlydifferent may nevertheless correspond to precisely the samestrategic game. For example, in a parliamentary democracy withthree parties, the winning coalitions are the same whether theparties hold a third of the seats, or, say, 49%, 39%, and 12%respectively. But the political situations are quite different. Thedifference lies in the attitudes of the players, in their expectationsabout each other, in custom, and in history, though the rules ofthe game do not distinguish between the two situations.

R. Aumann and J. H. Dreze. Rational Expectation in Games. American Eco-nomic Review (2008).

Eric Pacuit: Rationality (Lecture 14) 28/33

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Two questions

I What should the players do in a game-theoretic situation andwhat should they expect? (Assuming everyone is rational andrecognize each other’s rationality)

I What are the assumptions about rationality and the players’knowledge/beliefs underlying the various solution concepts?Why would the agents’ follow a particular solution concept?

Eric Pacuit: Rationality (Lecture 14) 29/33

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Writing a paper together

Problem of Cooperation.

C D

C 3,3 0,4

D 4,0 1,1

Intuitively, we solve these problem by working together.This is the question of collective agency.

Eric Pacuit: Rationality (Lecture 14) 30/33

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Writing a paper together

Problem of Cooperation.

C D

C 3,3 0,4

D 4,0 1,1

Intuitively, we solve these problem by working together.This is the question of collective agency.

Eric Pacuit: Rationality (Lecture 14) 30/33

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Writing a paper together

Problem of Coordination.

C D

C 3,3 0,0

D 0,0 1,1

Intuitively, we solve these problem by working together.This is the question of collective agency.

Eric Pacuit: Rationality (Lecture 14) 30/33

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Writing a paper together

Problem of Coordination.

C D

C 3,3 0,0

D 0,0 1,1

Intuitively, we solve these problem by working together.This is the question of collective agency.

Eric Pacuit: Rationality (Lecture 14) 30/33

Page 112: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Individual vs collective agency

Eric Pacuit: Rationality (Lecture 14) 31/33

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Individual vs collective agency

Different contexts of agency

I Individual decision making and individual action againstnature.

• Ex: Gambling.

I Individual decision making in interaction.

• Ex: Playing chess.

I Collective decision making.

• Ex: Carrying the piano.

Eric Pacuit: Rationality (Lecture 14) 32/33

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Individual vs collective agency

Different contexts of agencyI Individual decision making and individual action against

nature.• Ex: Gambling.

I Individual decision making in interaction.

• Ex: Playing chess.

I Collective decision making.

• Ex: Carrying the piano.

Eric Pacuit: Rationality (Lecture 14) 32/33

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Individual vs collective agency

Different contexts of agency

I Individual decision making and individual action againstnature.

• Ex: Gambling.

I Individual decision making in interaction.

• Ex: Playing chess.

I Collective decision making.

• Ex: Carrying the piano.

Eric Pacuit: Rationality (Lecture 14) 32/33

Page 116: Rationality - Lecture 14epacuit/classes/rationality... · 2010-12-02 · Rationality Lecture 14 Eric Pacuit Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/˘epacuit

Individual vs collective agency

Different contexts of agency

I Individual decision making and individual action againstnature.

• Ex: Gambling.

I Individual decision making in interaction.

• Ex: Playing chess.

I Collective decision making.

• Ex: Carrying the piano.

Eric Pacuit: Rationality (Lecture 14) 32/33

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Individual vs collective agency

Different contexts of agency

I Individual decision making and individual action againstnature.

• Ex: Gambling.

I Individual decision making in interaction.

• Ex: Playing chess.

I Collective decision making.

• Ex: Carrying the piano.

Eric Pacuit: Rationality (Lecture 14) 32/33

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Individual vs collective agency

Next: Social Choice Theory and Group Preferences

Eric Pacuit: Rationality (Lecture 14) 33/33