a logic of diversity

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Michigania 02005 A Logic of Diversity Scott E Page Complex Systems, Political Science, Economics and Institute for Social Research University of Michigan Santa Fe Institute

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A Logic of Diversity . Scott E Page Complex Systems, Political Science, Economics and Institute for Social Research University of Michigan Santa Fe Institute. The dim boy claps because the others clap. - Richard Hugo. A Logic of Diversity. - PowerPoint PPT Presentation

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Page 1: A Logic of Diversity

Michigania 02005

A Logic of Diversity Scott E Page

Complex Systems, Political Science, Economics and

Institute for Social Research

University of MichiganSanta Fe Institute

Page 2: A Logic of Diversity

Michigania 02005

The dim boy claps because the others clap.

- Richard Hugo

Page 3: A Logic of Diversity

Michigania 02005

A Logic of Diversity

I am going to replace abstract concepts, metaphors, and mantras with formal frameworks to produce a logic of individual diversity and its aggregative implications.

Page 4: A Logic of Diversity

Michigania 02005

Lu Hong: Mathematics of Diversity

Jenna Bednar: Cultural Diversity and Institutional Path Dependence

Co-Authors

Page 5: A Logic of Diversity

Michigania 02005

The Diversity Mantra

Identity

Diversity

Diverse

Perspectives

Page 6: A Logic of Diversity

Michigania 02005

Extending The Mantra

Identity

Diversity

Diverse

Perspectives

Better

Outcomes

Page 7: A Logic of Diversity

Michigania 02005

Enlarging The Mantra

Identity

Diversity

Diverse

Perspectives

Better

Outcomes

Page 8: A Logic of Diversity

Michigania 02005

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TrainingQuickTime™ and aTIFF (Uncompressed) decompressorare needed to see this picture.QuickTime™ and a

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ExperientialQuickTime™ and aTIFF (Uncompressed) decompressorare needed to see this picture.

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Page 11: A Logic of Diversity

Michigania 02005

Enlarging The Mantra

Identity,

Training,

Experiential

Diversity

Diverse

Perspectives

Better

Outcomes

Page 12: A Logic of Diversity

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Today’s Talk: Unpacking The First Box

Diverse

Perspectives

Page 13: A Logic of Diversity

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Wednesday’s Talk: Demonstrating Causality

Diverse

Perspectives

Better

Outcomes

Page 14: A Logic of Diversity

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Today’s TalkDescribing the differences inside of

our heads - cognitive differences.

Page 15: A Logic of Diversity

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Brief IntermissionLink to training (calculus, physics,

etc..) obvious.

Link to experience (we reason based on past cases) also clear

But what of identity and culture?

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A Most Important Question

Page 17: A Logic of Diversity

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A Most Important QuestionWhere do you keep your ketchup?

Fridge?Cupboard?

Page 18: A Logic of Diversity

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The Follow-up QuestionsShoes on or off in your house?Cross street when the red hand is

flashing but no cars are present?Read newspaper at breakfast table?When you greet friends do you hug?

Page 19: A Logic of Diversity

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The Diversity Mantra

Identity

Diversity

Diverse

Perspectives

Page 20: A Logic of Diversity

Michigania 02005

Diverse Perspectives?

PerspectivesHeuristics

InterpretationsMental Models

Page 21: A Logic of Diversity

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Perspectives

A perspective is a representation of the set of possible solutions.

Page 22: A Logic of Diversity

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The Value of PerspectivesMost great breakthroughs in science

result from new perspectives.

Newton: Planetary MotionMendeleyev: Periodic Table

Page 23: A Logic of Diversity

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Diverse Perspectives

Cartesian Polar

(x,y)

(r

Page 24: A Logic of Diversity

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Ben and Jerry

chunk size

number of chunks

y

x

z

Page 25: A Logic of Diversity

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Consultant 1

caloric rank

zx y

Page 26: A Logic of Diversity

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Consultant 2

masticity

z x y

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Rugged Landscapes

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Perspectives and Difficulty

A perspective creates a landscape where the elevation of each solution equals its value. The better the perspective, the less rugged the landscape.

Page 29: A Logic of Diversity

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Mt Fuji Landscape

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Caloric Landscape

Page 31: A Logic of Diversity

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Chew Time Landscape

Page 32: A Logic of Diversity

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Value of Consultants

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Perspectives in Strategic Contexts

A perspective can also simplify a strategic context. What was hard can become easy.

Page 34: A Logic of Diversity

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Sum to Fifteen – Herb SimonSetup: Cards numbered 1-9 face up

on table

Play: Players alternate selecting cards

Object: To hold exactly three cards that add up to fifteen

Page 35: A Logic of Diversity

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4/29/98 Page-De Marchi Match

D: 7P: 6D: 5 (12)P: 3 (9)D: 1 (6,8,12)P: 9 (12,9,15)

De Marchi offers Draw!!

Page 36: A Logic of Diversity

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7th Grade AlgebraA Magic Square

8 3 4 1 5 9 6 7 2

Page 37: A Logic of Diversity

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Page-De Marchi Again

_ _ _ _ _ _

_ X _

Page 38: A Logic of Diversity

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Page-De Marchi Again

_ _ _ _ _ _

0 X _

Page 39: A Logic of Diversity

Michigania 02005

Page-De Marchi Again

_ _ _ _ X _

0 X _

Page 40: A Logic of Diversity

Michigania 02005

Page-De Marchi Again

_ 0 _ _ X _

0 X _

Page 41: A Logic of Diversity

Michigania 02005

Page-De Marchi Again

_ 0 _ X X _

0 X _

Page 42: A Logic of Diversity

Michigania 02005

Page-De Marchi Again

_ 0 _ X X 0

0 X _

Page 43: A Logic of Diversity

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An EquivalenceIt can be shown that tic tac toe on

the magic square is equivalent to sum to fifteen.

In one perspective the game is hard. In the other perspective, the game is easy.

Page 44: A Logic of Diversity

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What Is Hard Can Be EasyTheorem: For any problem there

exists a representation such that the problem of finding an optimal solution is easy.

Page 45: A Logic of Diversity

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Water Flow ProblemThree valves (x,y,z): open = 1,

closed = 0

Flow: x + y + z - 2xy - 2yz - 2xz + 4xyz

Page 46: A Logic of Diversity

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Walsh FunctionsWalsh Function #3 W(x,y,z) = 0 if #1’s is evenW(x,y,z) = 1 if #1’s is odd

W(x,y,z) = x + y + z - 2xy - 2yz - 2xz + 4xyz

Page 47: A Logic of Diversity

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CautionDiverse perspectives create more adjacencies,

and therefore more solutions. Those additional solutions include better solutions only if the perspectives are appropriate to the problem.

More need not imply more better.

Page 48: A Logic of Diversity

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HeuristicsHeuristics are techniques that we

use for finding solutions. They can take many forms

- simulated annealing algorithms- rule of 72- do the opposite

Page 49: A Logic of Diversity

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Heuristic Example Fill in the blank

• 1 2 3 5 _ 13

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Answer 1 2 3 5 8 13

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Heuristic

1 2 3 5 8 13– xi+2- xi+1 =xi

Page 52: A Logic of Diversity

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Next Question

1 4 _ 16 25 36

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Answer

1 4 9 16 25 36

Page 54: A Logic of Diversity

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Heuristic

1 4 9 16 25 36– xi

2

Page 55: A Logic of Diversity

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Last One!

1 2 6 _ 1806

Page 56: A Logic of Diversity

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Answer

1 2 6 42 1806

Page 57: A Logic of Diversity

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Heuristic

1 2 6 42 1806– xi+1 – xi = xi

2

– 6 – 2 = 22

– 42 – 6 = 62

– 1806 – 42 = 422

Page 58: A Logic of Diversity

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Combining Heuristics 1 2 6 42 1806

– xi+1 – xi = xi 2

This is a combination of the first two heuristics

Page 59: A Logic of Diversity

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One plus one equals THREE

By knowing two heuristics, you know three heuristics: The two individual heuristic plus the combined heuristic.

Page 60: A Logic of Diversity

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InterpretationsReality consists of many variables or

attributes. People cannot include them all. Therefore, we either- consider only some attributes - lump things together

Page 61: A Logic of Diversity

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“Lump to Live”If we did not lump various

experiences, situations, and events into categories, we could not draw inferences, make generalities, or construct mental models.

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Real Life Examples“Kerry is a liberal”Soccer moms and NASCAR DadsPrice Earnings RatiosAutismModern ArtSKA

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An Example

• Students and advisors can have one of four personality types:– Obsessive– Curious– Ambitious– Rule Following

• Outcome function F maps each pair into an outcome which is either good or bad.

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The Outcome Function

G G

G

G

G

G

G

B

B

B

BB

B B B

O C A R

O

C

A

R

student

advisorG

Page 65: A Logic of Diversity

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Advisor Type Interpretation

G G

G

G

G

G

G

B

B

B

BB

B B B

O

C

A

R

advisor G

prediction

G

G

B

B

Page 66: A Logic of Diversity

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Student Type Interpretation

G G

G

G

G

G

G

B

B

B

BB

B B B

G

O C A Rstudent

predictionG G B B

Page 67: A Logic of Diversity

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Making Horse RacesThis is why we differ on our

predictions of what will happen with stock prices, who will win sporting events, and who is a likely terrorist -- we look at the world differently.

Page 68: A Logic of Diversity

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Miles DavisExperts parse the world more finely

than the rest of.

Page 69: A Logic of Diversity

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Chicago El 1992 red line max 70K riders blue line max 80K riders

Page 70: A Logic of Diversity

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Chicago El 1992 red line max 70K riders blue line max 80K riders

40K

70K

80K

30K

Page 71: A Logic of Diversity

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Chicago El 1992 red line max 70K riders blue line max 80K riders

40K

70K

80K

30K

Page 72: A Logic of Diversity

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Chicago El 1992 yellow line max 40K riders purple line max 80K riders

70K

80K

30K

40K

Page 73: A Logic of Diversity

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Toolboxes vs Measuring Sticks

We can think of a person’s ability as her collection of tools -- her perspectives, her heuristics, and her mental models -- and not as an IQ score.

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More Toolbox CombinatoricsWith one hundred tools, the number

of collections of ten tools equals

17,310,309,456,440

Compare this to the number of I.Q.s!

Page 75: A Logic of Diversity

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Toolboxes and IQsSuppose 50 possible toolsSarah knows 20 Frank knows 12

What are odds that Sarah knows all that Frank knows?

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Toolboxes and IQsSuppose 50 possible toolsSarah knows 20 Frank knows 12

What are odds that Sarah knows all that Frank knows? About 4 in a billion

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An Implicit CheatI assumed that any tool can be

acquired. (“I think I’ll learn string theory.”) That may not be true. It could be that tools have an ordering - to learn one tool you must first learn another.

Page 78: A Logic of Diversity

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Ladder ModelSuppose the tools are arranged in a

ladder, so that to learn tool nine you must first learn tools 1-8.

Sarah now knows tools 1-20 Frank now knows tools 1-15

Sarah is “smarter” than Frank.

Page 79: A Logic of Diversity

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Many Ladders ModelProbability

# of Ladders Sarah > Frank1 100%2 29%3 9%4 1%5 0.005%

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A PuzzleWhy do people in the humanities and the arts believe in the value of diversity and why do people in the sciences not?

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We Believe What We Know

Discipline # of Ladders Math Very Few Physics Very Few Economics Few

Political Science Several Literature Many

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Summary- We don’t apply our IQ directly- We apply tools

- Perspectives, heuristics, interpretations, mental models

- Tools are superadditive (42)- Cannot universally compare

intelligences- Can compare domain specific

intelligence

Page 83: A Logic of Diversity

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What’s Next- Individual diversity influences

collective performance.- Explain``Wisdom of Crowds”- See that diversity and ability merit

equal standing