computational democracy: algorithms, game theory, and elections

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Computational Democracy: Algorithms, Game Theory, and Elections Steven Wolfman 2011/10/27

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Computational Democracy: Algorithms, Game Theory, and Elections. Steven Wolfman 2011/10/27. A voting system is software. . 2001 BC General Election. Some other oddities: - 1926 MB Federal - 1992 and 2000 US Presidential - 2008 Vancouver Municipal. MANY Other Algorithms. - PowerPoint PPT Presentation

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Page 1: Computational Democracy: Algorithms, Game Theory, and Elections

Computational Democracy:Algorithms, Game Theory, and Elections

Steven Wolfman2011/10/27

Page 2: Computational Democracy: Algorithms, Game Theory, and Elections

A voting system is software.

Page 3: Computational Democracy: Algorithms, Game Theory, and Elections

2001 BC General Election

Liberal NDP GreenSeats 77 2 0

Popular Vote

57.62% 21.56% 12.39%

Page 4: Computational Democracy: Algorithms, Game Theory, and Elections

Some other oddities:

- 1926 MB Federal- 1992 and 2000 US Presidential- 2008 Vancouver Municipal

Liberal NDP GreenSeats 77 2 0

Popular Vote

57.62% 21.56% 12.39%

Page 5: Computational Democracy: Algorithms, Game Theory, and Elections

MANY Other Algorithms

Approval (hand-raising in class, often), Range (IMDB), Party List Proportional (Germany), Cumulative (??), Block (Vancouver municipal), Condorcet (UBC AMS, “ranked pairs” flavour), ...

But.. what do we really want out of a voting system?

Page 6: Computational Democracy: Algorithms, Game Theory, and Elections

“Independence of Irrelevant Alternatives”(Intuition. Thanks to Sidney Morgenbesser.)

We have apple and blueberry.I’ll take the apple.

Oh, wait! We have cherry, too!

In that case, I’ll take the blueberry

Page 7: Computational Democracy: Algorithms, Game Theory, and Elections

Formally: Independence of Irrelevant Alternatives

If under one set of votes, A beats B, then...A still beats B under another set of votes

with the same relative rankings of A and B.

1CADEB2BADCE3ACDEB4AEBCD5DECBA

SA...B

1EACBD2CEBAD3ABCDE4CAEBD5DBECA

S.A..B

Page 8: Computational Democracy: Algorithms, Game Theory, and Elections

General Definition: “Pareto (In)Efficient”

If a change in the solution can make everyone better off, then the solution is “Pareto inefficient”.

GFEDCBA

Candidate (“option”) VoterKey:

Question: Which of these is Pareto Inefficient?

Page 9: Computational Democracy: Algorithms, Game Theory, and Elections

Formal: Pareto Efficient

For any two candidates A and B, if all voters prefer A to B, A must beat B.

BA

Candidate (“option”) VoterKey:

Page 10: Computational Democracy: Algorithms, Game Theory, and Elections

Formal: Dictator

d is a dictator iff for any set of votes, the outcome precisely matches d’s vote.

1CADEB2BADCE3ACDEB4AEBCD5DECBA

SAEBCD

1EACBD2CEBAD3ABCDE4CAEBD5DBECA

SCAEBDAll hail 4!

Page 11: Computational Democracy: Algorithms, Game Theory, and Elections

Arrow’s Impossibility Theorem(Kenneth Arrow, 1951 Nobel Prize)

PE

IIA

+ Dictatorship

Let’s prove it.We assume: no ties in votes or outcome.

This assumption is unnecessary.We assume: finite #voters, at least three candidates, election is a function.

All three are necessary.

Page 12: Computational Democracy: Algorithms, Game Theory, and Elections

1 CADEB2 BADCE3 ACDEB4 AEBCD5 DECBA

S ACDBE

Let’s play with votes.1. Run the election.2. Go back in time and change the votes.3. Rerun the election.

(AKA: explore the result of the election function on various inputs.)Scenario: move all B votes to the top

1 BCADE2 BADCE3 BACDE4 BAECD5 BDECA

S BACDE

PE and all B at top B wins top

Page 13: Computational Democracy: Algorithms, Game Theory, and Elections

1 CADEB2 BADCE3 ACDEB4 AEBCD5 DECBA

S ACDBE

Scenario: all B at bottom1. Run election2. Change votes3. Rerun election

1 CADEB2 ADCEB3 ACDEB4 AECDB5 DECAB

S ACDEB

PE and all B at bottom B “wins” bottom

Page 14: Computational Democracy: Algorithms, Game Theory, and Elections

1 CADEB2 BADCE3 ACDEB4 AEBCD5 DECBA

S ACDBE

Scenario: B at top or bottom

Here, A > B and B > C.

Generally, if B is in the middle, something beats B and some-thing loses to B. (Key results will always apply to the general case.)

1 CADEB2 BADCE3 ACDEB4 AECDB5 BDECA

S ABCDE

Can B end up in the middle like this? Let’s play!

Page 15: Computational Democracy: Algorithms, Game Theory, and Elections

1 CADEB2 BADCE3 ACDEB4 AECDB5 BDECA

S ABCDE

Scenario: C just above A

1 CADEB2 BCADE3 CADEB4 CAEDB5 BDECA

S ABCDE

PE C beats AIIA A (still) beats BIIA B (still) beats C

CONTRADICTION

Remember:A beats BB beats C

B at top or bottom in all votes B wins top or bottom

Page 16: Computational Democracy: Algorithms, Game Theory, and Elections

1 CADEB2 ADCEB3 ACDEB4 AECDB5 DECAB

S ACDEB

Scenario: find who moves B up

Reminder: if every voter puts B at top or bottom,B wins top or bottom.

1 BCADE2 BADCE3 BACDE4 BAECD5 BDECA

S BACDE

PE left side has B at bottom, right side has B at top

Page 17: Computational Democracy: Algorithms, Game Theory, and Elections

1 CADEB2 ADCEB3 ACDEB4 AECDB5 DECAB

S ACDEB

Scenario: find who moves B up

Reminder: if every voter puts B at top or bottom,B wins top or bottom.

1 BCADE2 ADCEB3 ACDEB4 AECDB5 DECAB

S ACDEB

At some point as we flip B up, it will move to the top.

Page 18: Computational Democracy: Algorithms, Game Theory, and Elections

1 BCADE2 ADCEB3 ACDEB4 AECDB5 DECAB

S ACDEB

Scenario: find who moves B up

Reminder: if every voter puts B at top or bottom,B wins top or bottom.

1 BCADE2 BADCE3 ACDEB4 AECDB5 DECAB

S ACDEB

At some point as we flip B up, it will move to the top.

Page 19: Computational Democracy: Algorithms, Game Theory, and Elections

1 BCADE2 BADCE3 ACDEB4 AECDB5 DECAB

S ACDEB

Scenario: find who moves B up

Reminder: if every voter puts B at top or bottom,B wins top or bottom.

1 BCADE2 BADCE3 BACDE4 AECDB5 DECAB

S BACDE

At some point as we flip B up, it will move to the top.

Page 20: Computational Democracy: Algorithms, Game Theory, and Elections

1 BCADE2 BADCE3 ACDEB4 AECDB5 DECAB

S ACDEB

Scenario: find who moves B up

Reminder: if every voter puts B at top or bottom,B wins top or bottom.

1 BCADE2 BADCE3 BACDE4 AECDB5 DECAB

S BACDE

At some point as we flip B up, it will move to the top.

Let’s focus on the voter who “controls” B.(3 in this case, but someone in general.)

Starting with the right side.

Page 21: Computational Democracy: Algorithms, Game Theory, and Elections

1 BCADE2 BADCE3 ABCDE4 AECDB5 DECAB

S ABCDE

Scenario: 3 moves A above B

1 BCADE2 BADCE3 BACDE4 AECDB5 DECAB

S BACDE

Why is A at the top? Compare to when we discovered 3...

Page 22: Computational Democracy: Algorithms, Game Theory, and Elections

1 BCADE2 BADCE3 ACDEB4 AECDB5 DECAB

S ACDEB

Scenario: find who moves B up

Reminder: if every voter puts B at top or bottom,B wins top or bottom.

1 BCADE2 BADCE3 BACDE4 AECDB5 DECAB

S BACDE

At some point as we flip B up, it will move to the top.

Let’s focus on the voter who “controls” B.(3 in this case, but someone in general.)

This time we want the left side.

Page 23: Computational Democracy: Algorithms, Game Theory, and Elections

1 BCADE2 BADCE3 ACDEB4 AECDB5 DECAB

S ACDEB

Look at the A/B rankings here versus...our “3 puts A above B” scenario.

1 BCADE2 BADCE3 ABCDE4 AECDB5 DECAB

S ABCDE

IIA, left says A > B A > B

1 BCADE2 BADCE3 ACDEB4 AECDB5 DECAB

S ACDEB

1 BCADE2 BADCE3 ABCDE4 AECDB5 DECAB

S ABCDE

In fact, all but 3 can rearrange their votes, if they don’t move B...

Page 24: Computational Democracy: Algorithms, Game Theory, and Elections

1 BCADE2 BADCE3 ABCDE4 AECDB5 DECAB

S ABCDE

Scenario: free up all but B and 3’s A

As long as we keep voters’ A/B ordering the same, A > B, by IIA.

1 BDEAC2 BCDEA3 ABEDC4 ACEDB5 DACEB

S ABDEC

B beats C. Must it? Compare to when we discovered 3...

Page 25: Computational Democracy: Algorithms, Game Theory, and Elections

1 BCADE2 BADCE3 ACDEB4 AECDB5 DECAB

S ACDEB

Scenario: find who moves B up

Reminder: if every voter puts B at top or bottom,B wins top or bottom.

1 BCADE2 BADCE3 BACDE4 AECDB5 DECAB

S BACDE

At some point as we flip B up, it will move to the top.

Let’s focus on the voter who “controls” B.(3 in this case, but someone in general.)

Back to the right side.

Page 26: Computational Democracy: Algorithms, Game Theory, and Elections

1 BCADE2 BADCE3 BACDE4 AECDB5 DECAB

S BACDE

1 BCADE2 BADCE3 BACDE4 AECDB5 DECAB

S BACDE

Scenario: free up all but B and 3’s A

1 BDEAC2 BCDEA3 ABEDC4 ACEDB5 DACEB

S ABDEC

But, must B > C? Yes, by IIA, since B/C rankings match.

1 BDEAC2 BCDEA3 ABEDC4 ACEDB5 DACEB

S ABDEC

Page 27: Computational Democracy: Algorithms, Game Theory, and Elections

Scenario: free up the B’s

Reminder: As long as we keep voters’ A/B ordering the same, A > B and B > C by IIA.

Now, everyone moves their Bs around, and 3 moves its A around but keeps it above C.

1 BDEAC2 BCDEA3 ABEDC4 ACEDB5 DACEB

S ABDEC

1 DEBAC2 CDEAB3 BAEDC4 ACEDB5 BDACE

S BDACE

IIA A > C, but the only fixed ranking is 3’s A > C!

Page 28: Computational Democracy: Algorithms, Game Theory, and Elections

Brief pause for formality:

In general, A and C are arbitrary options other than B.

So, 3 is a dictator with respect to all relative orderings except those involving B.

1 BDEAC2 BCDEA3 ABEDC4 ACEDB5 DACEB

S ABDEC

1 DEBAC2 CDEAB3 BAEDC4 ACEDB5 BDACE

S BDACE

All (but B) hail 3!

Rest of proof is a repeat with different candidate for B; skipping...

Page 29: Computational Democracy: Algorithms, Game Theory, and Elections

Arrow’s Impossibility Theorem(Kenneth Arrow, 1951 Nobel Prize)

PE

IIA

+ Dictatorship

Page 30: Computational Democracy: Algorithms, Game Theory, and Elections

More algorithms/game theory

rangevoting.org

Ka-Ping Yeezesty.ca

Page 31: Computational Democracy: Algorithms, Game Theory, and Elections

Some Other Contexts of Use

• Usability and interface design• Security and voter verifiability• District creation and member allocation

(and gerrymandering)• Design specifications and standards• Election auditing and fraud detection• Voter files/databases• Voter registration systems

Page 32: Computational Democracy: Algorithms, Game Theory, and Elections

Extra Slides(just in case)

Page 33: Computational Democracy: Algorithms, Game Theory, and Elections

Scenario: what about B

Repeat proof, except with C at top/bottom rather than B.

We find a dictator over B vs A (and B vs all but C), but remember...

1 BADEC2 ADBEC3 ABDEC4 AEBDC5 DEBAC

S ABDEC

1 CBADE2 CADBE3 CABDE4 CAEBD5 CDEBA

S CABDE

Page 34: Computational Democracy: Algorithms, Game Theory, and Elections

1 BCADE2 BADCE3 ABCDE4 AECDB5 DECAB

S ABCDE

Scenario: 3 moves A above B

Because 3 moves A to the top, A > B.So, 3 is that dictator as well.

And any candidate but B can “play” A. So, 3 is the dictator. All hail 3!

1 BCADE2 BADCE3 BACDE4 AECDB5 DECAB

S BACDE

Page 35: Computational Democracy: Algorithms, Game Theory, and Elections

Canada’s Algorithm, Roughly

1. Start counts for each candidate and for “rejected” at 0.

2. For each ballot:a) If the ballot does not show a single candidate

choice or has stray marks that might identify the voter, add one to the “rejected” total.

b) Else, add one to the marked candidate’s total.3. Report the results of all counts.

After recounts, ties are do-overs: “deemed by-election” for the “deemed vacant” seat.

Based on the Canada Elections Act.(Ties specified in the Parliament of Canada Act.)

Page 36: Computational Democracy: Algorithms, Game Theory, and Elections

A Harder Case: STV

In Single-Transferable Voting, voters rank the candidates, a single election results in multiple candidates elected, and votes are transferred among candidates during the count based on preference order...