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Introduction to Theory of Voting Introduction to Theory of Voting

Introduction to Theory of Voting - PowerPoint Presentation

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Introduction to Theory of Voting - PPT Presentation

Chapter 2 of Computational Social Choice by William Zwicker Introduction If we assume every two voters play equivalent roles in our voting rule every two alternatives are treated equivalently by the rule ID: 707653

voting rules social axioms rules voting axioms social condorcet kemeny choice rule functions function distance borda scoring reinforcing top offs run alternatives

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Slide1

Introduction to Theory of Voting

Chapter 2 of Computational Social Choice

by William

ZwickerSlide2

Introduction

If we assume

every two voters play equivalent roles in our voting rule

every two alternatives are treated equivalently by the rule

there are only two alternatives to choose from

then May’s Theorem

tells us that the only reasonable voting method is

majority rule

.

This Talk (Chapter): Relax only the third condition and focus on ranked ballots!Slide3

Introduction

Definition: A voting rule is called a social choice function or SCF.

Prominent theorems about social choice functions:

Existence of majority cycles

Independence of Irrelevant Alternatives principle (IIA) → usually violated except for dictatorships

Gibbard

-Satterthwaite Theorem (GST) → every SCF other than dictatorship fails to be

strategyproofSlide4

Social Choice Functions:

Plurality, Copeland, and

BordaSlide5

Social Choice Functions:

Plurality, Copeland, and

Borda

a

is the unique plurality winner, or “social choice”.

It is difficult to see how

a

could win under

any

reasonable rule that use the second versus third place information in the ballots.

pairwise majoritySlide6

Social Choice Functions:

Plurality, Copeland, and

Borda

asymmetric

Borda

vs symmetric

Borda

affinely equivalent

b wins!Slide7

Social Choice FunctionsSlide8

Social Choice Functions

→ Copland and

Borda

announces “e” as the winner

↑Slide9

Axioms I: Anonymity, Neutrality, and the Pareto Property

Axioms

—precisely defined properties of voting rules as functions (phrased without referring to a particular mechanism)

Axioms often have

normative

content, meaning that they express, in some precise way, an intuitively appealing behavior we would like our voting rules to satisfy (such as a form of fairness).Slide10

Axioms I: Anonymity, Neutrality, and the Pareto Property

Axioms

—sorted in 3 groups

axioms of minimal demands

axioms of middling strength – controversial

strategyproofnessSlide11

Axioms I: Anonymity, Neutrality, and the Pareto Property

Legislative voting rules are often neither anonymous nor neutral.Slide12

Axioms I: Anonymity, Neutrality, and the Pareto PropertySlide13

Voting Rules I: Condorcet Extensions, Scoring Rules and Run-OffsSlide14

Voting Rules I: Condorcet Extensions, Scoring Rules and Run-OffsSlide15

Voting Rules I: Condorcet Extensions, Scoring Rules and Run-OffsSlide16

Voting Rules I: Condorcet Extensions, Scoring Rules and Run-OffsSlide17

Voting Rules I: Condorcet Extensions, Scoring Rules and Run-OffsSlide18

An Informational Basis for Voting Rules:

Fishburn’s

Classification

C1: SCFs corresponding to

tournament solutions, e.g.

Copeland, Top Cycle and Sequential Majority Comparison

C2: need the additional information in the

weighted tournament

—the net preferences

, e.g.

BordaC3: need “more” informationSlide19

Axioms II: Reinforcement and Monotonicity Properties

How does SCF respond when:

One or more voters change their ballots

One or more voters are added to a profileSlide20

Axioms II: Reinforcement and Monotonicity PropertiesSlide21

Axioms II: Reinforcement and Monotonicity PropertiesSlide22

Axioms II: Reinforcement and Monotonicity PropertiesSlide23

Axioms IISlide24

Voting Rules II:

Kemeny

and Dodgson

No social choice function is both reinforcing and a Condorcet extension but John

Kemeny

defined a neutral, anonymous, and reinforcing Condorcet extension that escapes this limitation via a change in context: his rule is a

social preference function.

Kemeny

measures the distance between two linear orderings,

by counting pairs of alternatives on which they disagree. For any profile P, the Kemeny Rule returns the ranking(s) minimizing the distance.If

a were a Condorcet winner for the profile P and did not rank

a

on top, then lifting

a

simply to top would strictly decrease the distance. Thus all rankings in the

Kemeny

outcome place

a

on top and in this sense

Kemeny

is a Condorcet extension.Slide25

Voting Rules II:

Kemeny

and DodgsonSlide26

Voting Rules II:

Kemeny

and Dodgson

Every preference function that can be defined by minimizing distance to unanimity is a ranking scoring rule, hence is reinforcing in the preference function sense.

We can convert a preference function into an SCF by selecting all top-ranked alternatives from winning rankings, but this may transform a reinforcing preference function into a non-reinforcing SCF, as happens for

Kemeny

.

A large variety of voting rules are “distance rationalizable”—they fit the minimize distance from consensus scheme.

Topic of Chapter 8