PHIL 308S: Voting Theory and Fair Division
|
|
- Lydia Morris
- 5 years ago
- Views:
Transcription
1 PHIL 308S: Voting Theory and Fair Division Lecture 12 Eric Pacuit Department of Philosophy University of Maryland, College Park ai.stanford.edu/ epacuit October 18, 2012 PHIL 308S: Voting Theory and Fair Division 1/32
2 { axed&vi"at 1&i'e Cax: Do About Manipulation It) PHIL 308S: Voting Theory and Fair Division 2/32
3 Agenda manipulation Misrepresenting preferences Sophisticated voting What is wrong with manipulation? PHIL 308S: Voting Theory and Fair Division 3/32
4 A voting rule V is manipulable provided there are two profiles P and P and a voter i such that PHIL 308S: Voting Theory and Fair Division 4/32
5 A voting rule V is manipulable provided there are two profiles P and P and a voter i such that P j = P j for all j i, and PHIL 308S: Voting Theory and Fair Division 4/32
6 A voting rule V is manipulable provided there are two profiles P and P and a voter i such that P j = P j for all j i, and Voter i prefers V ( P ) to V ( P). PHIL 308S: Voting Theory and Fair Division 4/32
7 A voting rule V is manipulable provided there are two profiles P and P and a voter i such that P j = P j for all j i, and Voter i prefers V ( P ) to V ( P). Intuition: P i is voter i s true preference. PHIL 308S: Voting Theory and Fair Division 4/32
8 A voting rule V is manipulable provided there are two profiles P and P and a voter i such that P j = P j for all j i, and Voter i prefers V ( P ) to V ( P). Intuition: P i is voter i s true preference. If V ( P) and V ( P ) are singletons, then i prefers V ( P ) to V ( P) means V ( P )P i V ( P) PHIL 308S: Voting Theory and Fair Division 4/32
9 What if V ( P) and V ( P ) are not singletons? PHIL 308S: Voting Theory and Fair Division 5/32
10 Preference Lifting, I Given a preference ordering over a set of objects X, we want to lift this to an ordering ˆ over (X ). Given, what reasonable properties can we infer about ˆ? S. Barberá, W. Bossert, and P.K. Pattanaik. Ranking sets of objects. In Handbook of Utility Theory, volume 2. Kluwer Academic Publishers, PHIL 308S: Voting Theory and Fair Division 6/32
11 Preference Lifting, II You know that x y z Can you infer that {x, y} ˆ {z}? PHIL 308S: Voting Theory and Fair Division 7/32
12 Preference Lifting, II You know that x y z Can you infer that {x, y} ˆ {z}? You know that x y z Can you infer anything about {y} and {x, z}? PHIL 308S: Voting Theory and Fair Division 7/32
13 Preference Lifting, II You know that x y z Can you infer that {x, y} ˆ {z}? You know that x y z Can you infer anything about {y} and {x, z}? You know that w x y z Can you infer that {w, x, y} ˆ {w, y, z}? PHIL 308S: Voting Theory and Fair Division 7/32
14 Preference Lifting, II You know that x y z Can you infer that {x, y} ˆ {z}? You know that x y z Can you infer anything about {y} and {x, z}? You know that w x y z Can you infer that {w, x, y} ˆ {w, y, z}? You know that w x y z Can you infer that {w, x} ˆ {y, z}? PHIL 308S: Voting Theory and Fair Division 7/32
15 Preference Lifting, III There are different interpretations of X ˆ Y : You will get one of the elements, but cannot control which. You can choose one of the elements. You will get the full set. PHIL 308S: Voting Theory and Fair Division 8/32
16 Preference Lifting, IV Kelly Principle (EXT) {x} ˆ {y} provided x y (MAX) A ˆ Max(A) (MIN) Min(A) ˆ A J.S. Kelly. Strategy-Proofness and Social Choice Functions without Single- Valuedness. Econometrica, 45(2), pp , PHIL 308S: Voting Theory and Fair Division 9/32
17 Preference Lifting, IV Gärdenfors Principle (G1) A ˆ A {x} if a x for all a A (G2) A {x} ˆ A if x a for all a A P. Gärdenfors. Manipulation of Social Choice Functions. Journal of Economic Theory. 13:2, , PHIL 308S: Voting Theory and Fair Division 10/32
18 Preference Lifting, IV Gärdenfors Principle (G1) A ˆ A {x} if a x for all a A (G2) A {x} ˆ A if x a for all a A P. Gärdenfors. Manipulation of Social Choice Functions. Journal of Economic Theory. 13:2, , Independence (IND) A {x} ˆ B {x} if A ˆ B and x A B PHIL 308S: Voting Theory and Fair Division 10/32
19 Preference Lifting, V Theorem (Kannai and Peleg). If X 6, then no weak order satisfies both the Gärdenfors principle and independence. Y. Kannai and B. Peleg. A Note on the Extension of an Order on a Set to the Power Set. Journal of Economic Theory, 32(1), pp , PHIL 308S: Voting Theory and Fair Division 11/32
20 Suppose that V ( P) and V ( P ) are not singletons X is weakly dominates Y for i provided x X y Y xr i y and x X y Y xp i y PHIL 308S: Voting Theory and Fair Division 12/32
21 Suppose that V ( P) and V ( P ) are not singletons X is weakly dominates Y for i provided x X y Y xr i y and x X y Y xp i y X is preferred by an optimist to Y : max i (X, P)P i max i (Y, P) PHIL 308S: Voting Theory and Fair Division 12/32
22 Suppose that V ( P) and V ( P ) are not singletons X is weakly dominates Y for i provided x X y Y xr i y and x X y Y xp i y X is preferred by an optimist to Y : max i (X, P)P i max i (Y, P) X is preferred by a pessimist to Y : min i (X, P)P i min i (Y, P) PHIL 308S: Voting Theory and Fair Division 12/32
23 Suppose that V ( P) and V ( P ) are not singletons X is weakly dominates Y for i provided x X y Y xr i y and x X y Y xp i y X is preferred by an optimist to Y : max i (X, P)P i max i (Y, P) X is preferred by a pessimist to Y : min i (X, P)P i min i (Y, P) X has higher expected utility : There exists a utility function representing P i such that, if p(x) = 1 X and p(y) = 1 Y, then p(x) u(x) > p(y) u(y) y Y x X PHIL 308S: Voting Theory and Fair Division 12/32
24 The Gibbard-Satterthwaite Theorem A social choice function is strategy-proof if for no individual i there exists a profile R and a linear order R i such that V ( R i, R i ) is ranked above V ( R) according to i. Theorem. Any social choice function for three or more alternatives that is Pareto and strategy-proof must be a dictatorship. M. A. Satterthwaite. Strategy-proofness and Arrow s conditions: Existence and correspondence theorems for voting procedures and social welfare functions. Journal of Economic Theory, 10(2): , A. Gibbard. Manipulation of voting schemes: A general result. Econometrica, 41(4): , PHIL 308S: Voting Theory and Fair Division 13/32
25 Agenda manipulation Misrepresenting preferences Sophisticated voting What is wrong with manipulation? PHIL 308S: Voting Theory and Fair Division 14/32
26 Example I The following example is due to [Brams & Fishburn] P A = o 1 > o 3 > o 2 P B = o 2 > o 3 > o 1 P C = o 3 > o 1 > o 2 Size Group I II 4 A o 1 o 1 3 B o 2 o 2 2 C o 3 o 1 If the current winner is o, then agent i will switch its vote to some candidate o provided 1. o is one of the top two candidates as indicated by a poll 2. o is preferred to the other top candidate PHIL 308S: Voting Theory and Fair Division 15/32
27 Example I The following example is due to [Brams & Fishburn] P A = o 1 > o 3 > o 2 P B = o 2 > o 3 > o 1 P C = o 3 > o 1 > o 2 Size Group I II 4 A o 1 o 1 3 B o 2 o 2 2 C o 3 o 1 If the current winner is o, then agent i will switch its vote to some candidate o provided 1. o is one of the top two candidates as indicated by a poll 2. o is preferred to the other top candidate PHIL 308S: Voting Theory and Fair Division 16/32
28 Example II PA = (o 1, o 4, o 2, o 3 ) PB = (o 2, o 1, o 3, o 4 ) PC = (o 3, o 2, o 4, o 1 ) PD = (o 4, o 1, o 2, o 3 ) PE = (o 3, o 1, o 2, o 4 ) Size Group I II III IV 40 A o 1 o 1 o 4 o 1 30 B o 2 o 2 o 2 o 2 15 C o 3 o 2 o 2 o 2 8 D o 4 o 4 o 1 o 4 7 E o 3 o 3 o 1 o 1 If the current winner is o, then agent i will switch its vote to some candidate o provided 1. i prefers o to o, and 2. the current total for o plus agent i s votes for o is greater than the current total for o. PHIL 308S: Voting Theory and Fair Division 17/32
29 Example II PA = (o 1, o 4, o 2, o 3 ) PB = (o 2, o 1, o 3, o 4 ) PC = (o 3, o 2, o 4, o 1 ) PD = (o 4, o 1, o 2, o 3 ) PE = (o 3, o 1, o 2, o 4 ) Size Group I II III IV 40 A o 1 o 1 o 4 o 1 30 B o 2 o 2 o 2 o 2 15 C o 3 o 2 o 2 o 2 8 D o 4 o 4 o 1 o 4 7 E o 3 o 3 o 1 o 1 If the current winner is o, then agent i will switch its vote to some candidate o provided 1. i prefers o to o, and 2. the current total for o plus agent i s votes for o is greater than the current total for o. PHIL 308S: Voting Theory and Fair Division 18/32
30 Example II PA = (o 1, o 4, o 2, o 3 ) PB = (o 2, o 1, o 3, o 4 ) PC = (o 3, o 2, o 4, o 1 ) PD = (o 4, o 1, o 2, o 3 ) PE = (o 3, o 1, o 2, o 4 ) Size Group I II III IV 40 A o 1 o 1 o 4 o 1 30 B o 2 o 2 o 2 o 2 15 C o 3 o 2 o 2 o 2 8 D o 4 o 4 o 1 o 4 7 E o 3 o 3 o 1 o 1 If the current winner is o, then agent i will switch its vote to some candidate o provided 1. i prefers o to o, and 2. the current total for o plus agent i s votes for o is greater than the current total for o. PHIL 308S: Voting Theory and Fair Division 19/32
31 Example II PA = (o 1, o 4, o 2, o 3 ) PB = (o 2, o 1, o 3, o 4 ) PC = (o 3, o 2, o 4, o 1 ) PD = (o 4, o 1, o 2, o 3 ) PE = (o 3, o 1, o 2, o 4 ) Size Group I II III IV 40 A o 1 o 1 o 4 o 1 30 B o 2 o 2 o 2 o 2 15 C o 3 o 2 o 2 o 2 8 D o 4 o 4 o 1 o 4 7 E o 3 o 3 o 1 o 1 If the current winner is o, then agent i will switch its vote to some candidate o provided 1. i prefers o to o, and 2. the current total for o plus agent i s votes for o is greater than the current total for o. PHIL 308S: Voting Theory and Fair Division 20/32
32 Example III P A = (o 1, o 2, o 3 ) P B = (o 2, o 3, o 1 ) P C = (o 3, o 1, o 2 ) Size Group I II III IV V VI VII 40 A o 1 o 1 o 2 o 2 o 2 o 1 o 1 o 1 30 B o 2 o 3 o 3 o 2 o 2 o 2 o 3 o 3 30 C o 3 o 3 o 3 o 3 o 1 o 1 o 1 o 3 PHIL 308S: Voting Theory and Fair Division 21/32
33 Example III P A = (o 1, o 2, o 3 ) P B = (o 2, o 3, o 1 ) P C = (o 3, o 1, o 2 ) Size Group I II III IV V VI VII 40 A o 1 o 1 o 2 o 2 o 2 o 1 o 1 o 1 30 B o 2 o 3 o 3 o 2 o 2 o 2 o 3 o 3 30 C o 3 o 3 o 3 o 3 o 1 o 1 o 1 o 3 PHIL 308S: Voting Theory and Fair Division 22/32
34 Example III P A = (o 1, o 2, o 3 ) P B = (o 2, o 3, o 1 ) P C = (o 3, o 1, o 2 ) Size Group I II III IV V VI VII 40 A o 1 o 1 o 2 o 2 o 2 o 1 o 1 o 1 30 B o 2 o 3 o 3 o 2 o 2 o 2 o 3 o 3 30 C o 3 o 3 o 3 o 3 o 1 o 1 o 1 o 3 PHIL 308S: Voting Theory and Fair Division 23/32
35 Example III P A = (o 1, o 2, o 3 ) P B = (o 2, o 3, o 1 ) P C = (o 3, o 1, o 2 ) Size Group I II III IV V VI VII 40 A o 1 o 1 o 2 o 2 o 2 o 1 o 1 o 1 30 B o 2 o 3 o 3 o 2 o 2 o 2 o 3 o 3 30 C o 3 o 3 o 3 o 3 o 1 o 1 o 1 o 3 PHIL 308S: Voting Theory and Fair Division 24/32
36 Example III P A = (o 1, o 2, o 3 ) P B = (o 2, o 3, o 1 ) P C = (o 3, o 1, o 2 ) Size Group I II III IV V VI VII 40 A o 1 o 1 o 2 o 2 o 2 o 1 o 1 o 1 30 B o 2 o 3 o 3 o 2 o 2 o 2 o 3 o 3 30 C o 3 o 3 o 3 o 3 o 1 o 1 o 1 o 3 PHIL 308S: Voting Theory and Fair Division 25/32
37 Example III P A = (o 1, o 2, o 3 ) P B = (o 2, o 3, o 1 ) P C = (o 3, o 1, o 2 ) Size Group I II III IV V VI VII 40 A o 1 o 1 o 2 o 2 o 2 o 1 o 1 o 1 30 B o 2 o 3 o 3 o 2 o 2 o 2 o 3 o 3 30 C o 3 o 3 o 3 o 3 o 1 o 1 o 1 o 3 PHIL 308S: Voting Theory and Fair Division 26/32
38 Example III P A = (o 1, o 2, o 3 ) P B = (o 2, o 3, o 1 ) P C = (o 3, o 1, o 2 ) Size Group I II III IV V VI VII 40 A o 1 o 1 o 2 o 2 o 2 o 1 o 1 o 1 30 B o 2 o 3 o 3 o 2 o 2 o 2 o 3 o 3 30 C o 3 o 3 o 3 o 3 o 1 o 1 o 1 o 3 PHIL 308S: Voting Theory and Fair Division 27/32
39 Example III P A = (o 1, o 2, o 3 ) P B = (o 2, o 3, o 1 ) P C = (o 3, o 1, o 2 ) Size Group I II III IV V VI VII 40 A o 1 o 1 o 2 o 2 o 2 o 1 o 1 o 1 30 B o 2 o 3 o 3 o 2 o 2 o 2 o 3 o 3 30 C o 3 o 3 o 3 o 3 o 1 o 1 o 1 o 3 PHIL 308S: Voting Theory and Fair Division 28/32
40 Example III P A = (o 1, o 2, o 3 ) P B = (o 2, o 3, o 1 ) P C = (o 3, o 1, o 2 ) Size Group I II III IV V VI VII 40 A o 1 o 1 o 2 o 2 o 2 o 1 o 1 o 1 30 B o 2 o 3 o 3 o 2 o 2 o 2 o 3 o 3 30 C o 3 o 3 o 3 o 3 o 1 o 1 o 1 o 3 PHIL 308S: Voting Theory and Fair Division 29/32
41 Sophisticated Voting Consider a legislator voting on a pay raise. (pass and vote nay) P i (pass and vote yea) P i (fail and vote nay) P i (fail and vote yea) PHIL 308S: Voting Theory and Fair Division 30/32
42 Sophisticated Voting Consider a legislator voting on a pay raise. (pass and vote nay) P i (pass and vote yea) P i (fail and vote nay) P i (fail and vote yea) If there are three voters who voter in turn, what will the first legislator choose? PHIL 308S: Voting Theory and Fair Division 30/32
43 (P & N) P i (P & Y ) P i (F & N) P i (F & Y ) 1 Y N 2 2 Y N Y N Y N Y N Y N Y N P P P F P F F F PHIL 308S: Voting Theory and Fair Division 31/32
44 (P & N) P i (P & Y ) P i (F & N) P i (F & Y ) 1 Y N 2 2 Y N Y N Y N Y N Y N Y N P P P F P F F F PHIL 308S: Voting Theory and Fair Division 31/32
45 (P & N) P i (P & Y ) P i (F & N) P i (F & Y ) 1 Y N 2 2 Y N Y N Y N Y N Y N Y N P P P F P F F F PHIL 308S: Voting Theory and Fair Division 31/32
46 (P & N) P i (P & Y ) P i (F & N) P i (F & Y ) 1 Y N 2 2 Y N Y N Y N Y N Y N Y N P P P F P F F F PHIL 308S: Voting Theory and Fair Division 31/32
47 (P & N) P i (P & Y ) P i (F & N) P i (F & Y ) 1 Y N 2 2 Y N Y N Y N Y N Y N Y N P P P F P F F F PHIL 308S: Voting Theory and Fair Division 31/32
48 What does it mean to vote strategically? Voting as a game vs. voting as an act of communication K. Dowding and M. van Hees. In Praise of Manipulation. British Journal of Political Science, 38 : pp 1-15, PHIL 308S: Voting Theory and Fair Division 32/32
Logic and Artificial Intelligence Lecture 22
Logic and Artificial Intelligence Lecture 22 Eric Pacuit Currently Visiting the Center for Formal Epistemology, CMU Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/ epacuit
More informationIntroduction to Formal Epistemology Lecture 5
Introduction to Formal Epistemology Lecture 5 Eric Pacuit and Rohit Parikh August 17, 2007 Eric Pacuit and Rohit Parikh: Introduction to Formal Epistemology, Lecture 5 1 Plan for the Course Introduction,
More informationSocial Choice Theory for Logicians Lecture 5
Social Choice Theory for Logicians Lecture 5 Eric Pacuit Department of Philosophy University of Maryland, College Park ai.stanford.edu/ epacuit epacuit@umd.edu June 22, 2012 Eric Pacuit: The Logic Behind
More informationSocial Choice and Mechanism Design - Part I.2. Part I.2: Social Choice Theory Summer Term 2011
Social Choice and Mechanism Design Part I.2: Social Choice Theory Summer Term 2011 Alexander Westkamp April 2011 Introduction Two concerns regarding our previous approach to collective decision making:
More informationLogic and Artificial Intelligence Lecture 21
Logic and Artificial Intelligence Lecture 21 Eric Pacuit Currently Visiting the Center for Formal Epistemology, CMU Center for Logic and Philosophy of Science Tilburg University ai.stanford.edu/ epacuit
More informationA General Impossibility Result on Strategy-Proof Social Choice Hyperfunctions
A General Impossibility Result on Strategy-Proof Social Choice Hyperfunctions Selçuk Özyurt and M. Remzi Sanver May 22, 2008 Abstract A social choice hyperfunction picks a non-empty set of alternatives
More informationStrategic Manipulability without Resoluteness or Shared Beliefs: Gibbard-Satterthwaite Generalized
Strategic Manipulability without Resoluteness or Shared Beliefs: Gibbard-Satterthwaite Generalized Christian Geist Project: Modern Classics in Social Choice Theory Institute for Logic, Language and Computation
More informationGame Theory: Spring 2017
Game Theory: Spring 2017 Ulle Endriss Institute for Logic, Language and Computation University of Amsterdam Ulle Endriss 1 Plan for Today In this second lecture on mechanism design we are going to generalise
More informationArrow s General (Im)Possibility Theorem
Division of the Humanities and ocial ciences Arrow s General (Im)Possibility Theorem KC Border Winter 2002 Let X be a nonempty set of social alternatives and let P denote the set of preference relations
More informationAPPLIED MECHANISM DESIGN FOR SOCIAL GOOD
APPLIED MECHANISM DESIGN FOR SOCIAL GOOD JOHN P DICKERSON Lecture #21 11/8/2016 CMSC828M Tuesdays & Thursdays 12:30pm 1:45pm IMPOSSIBILITY RESULTS IN VOTING THEORY / SOCIAL CHOICE Thanks to: Tuomas Sandholm
More informationFinite Dictatorships and Infinite Democracies
Finite Dictatorships and Infinite Democracies Iian B. Smythe October 20, 2015 Abstract Does there exist a reasonable method of voting that when presented with three or more alternatives avoids the undue
More informationDependence and Independence in Social Choice Theory
Dependence and Independence in Social Choice Theory Eric Pacuit Department of Philosophy University of Maryland, College Park pacuit.org epacuit@umd.edu March 4, 2014 Eric Pacuit 1 Competing desiderata
More informationVolume 31, Issue 1. Manipulation of the Borda rule by introduction of a similar candidate. Jérôme Serais CREM UMR 6211 University of Caen
Volume 31, Issue 1 Manipulation of the Borda rule by introduction of a similar candidate Jérôme Serais CREM UMR 6211 University of Caen Abstract In an election contest, a losing candidate a can manipulate
More informationHans Peters, Souvik Roy, Ton Storcken. Manipulation under k-approval scoring rules RM/08/056. JEL code: D71, D72
Hans Peters, Souvik Roy, Ton Storcken Manipulation under k-approval scoring rules RM/08/056 JEL code: D71, D72 Maastricht research school of Economics of TEchnology and ORganizations Universiteit Maastricht
More information3.1 Arrow s Theorem. We study now the general case in which the society has to choose among a number of alternatives
3.- Social Choice and Welfare Economics 3.1 Arrow s Theorem We study now the general case in which the society has to choose among a number of alternatives Let R denote the set of all preference relations
More information6.207/14.15: Networks Lecture 24: Decisions in Groups
6.207/14.15: Networks Lecture 24: Decisions in Groups Daron Acemoglu and Asu Ozdaglar MIT December 9, 2009 1 Introduction Outline Group and collective choices Arrow s Impossibility Theorem Gibbard-Satterthwaite
More informationMechanism Design without Money
Mechanism Design without Money MSc Thesis (Afstudeerscriptie) written by Sylvia Boicheva (born December 27th, 1986 in Sofia, Bulgaria) under the supervision of Prof Dr Krzysztof Apt, and submitted to the
More informationCMU Social choice 2: Manipulation. Teacher: Ariel Procaccia
CMU 15-896 Social choice 2: Manipulation Teacher: Ariel Procaccia Reminder: Voting Set of voters Set of alternatives Each voter has a ranking over the alternatives means that voter prefers to Preference
More informationCoalitionally strategyproof functions depend only on the most-preferred alternatives.
Coalitionally strategyproof functions depend only on the most-preferred alternatives. H. Reiju Mihara reiju@ec.kagawa-u.ac.jp Economics, Kagawa University, Takamatsu, 760-8523, Japan April, 1999 [Social
More informationAlgorithmic Game Theory Introduction to Mechanism Design
Algorithmic Game Theory Introduction to Mechanism Design Makis Arsenis National Technical University of Athens April 216 Makis Arsenis (NTUA) AGT April 216 1 / 41 Outline 1 Social Choice Social Choice
More informationMAXIMAL POSSIBILITY AND MINIMAL DICTATORIAL COVERS OF DOMAINS
MAXIMAL POSSIBILITY AND MINIMAL DICTATORIAL COVERS OF DOMAINS Gopakumar Achuthankutty 1 and Souvik Roy 1 1 Economic Research Unit, Indian Statistical Institute, Kolkata Abstract In line with the works
More informationSet-Monotonicity Implies Kelly-Strategyproofness
Set-Monotonicity Implies Kelly-Strategyproofness arxiv:1005.4877v5 [cs.ma] 5 Feb 2015 Felix Brandt Technische Universität München Munich, Germany brandtf@in.tum.de This paper studies the strategic manipulation
More informationThe Axiomatic Method in Social Choice Theory:
The Axiomatic Method in Social Choice Theory: Preference Aggregation, Judgment Aggregation, Graph Aggregation Ulle Endriss Institute for Logic, Language and Computation University of Amsterdam Ulle Endriss
More informationThe Pairwise-Comparison Method
The Pairwise-Comparison Method Lecture 12 Section 1.5 Robb T. Koether Hampden-Sydney College Mon, Sep 19, 2016 Robb T. Koether (Hampden-Sydney College) The Pairwise-Comparison Method Mon, Sep 19, 2016
More informationTighter Bounds for Facility Games
Tighter Bounds for Facility Games Pinyan Lu 1, Yajun Wang 1, and Yuan Zhou 1 Microsoft Research Asia {pinyanl, yajunw}@microsoft.com Carnegie Mellon University yuanzhou@cs.cmu.edu Abstract. In one dimensional
More informationAlgorithmic Game Theory and Applications
Algorithmic Game Theory and Applications Lecture 18: Auctions and Mechanism Design II: a little social choice theory, the VCG Mechanism, and Market Equilibria Kousha Etessami Reminder: Food for Thought:
More informationSurvey of Voting Procedures and Paradoxes
Survey of Voting Procedures and Paradoxes Stanford University ai.stanford.edu/ epacuit/lmh Fall, 2008 :, 1 The Voting Problem Given a (finite) set X of candidates and a (finite) set A of voters each of
More informationRecap Social Choice Fun Game Voting Paradoxes Properties. Social Choice. Lecture 11. Social Choice Lecture 11, Slide 1
Social Choice Lecture 11 Social Choice Lecture 11, Slide 1 Lecture Overview 1 Recap 2 Social Choice 3 Fun Game 4 Voting Paradoxes 5 Properties Social Choice Lecture 11, Slide 2 Formal Definition Definition
More informationComparing impossibility theorems
Comparing impossibility theorems Randy Calvert, for Pol Sci 507 Spr 2017 All references to A-S & B are to Austen-Smith and Banks (1999). Basic notation X set of alternatives X set of all nonempty subsets
More informationArrow s Paradox. Prerna Nadathur. January 1, 2010
Arrow s Paradox Prerna Nadathur January 1, 2010 Abstract In this paper, we examine the problem of a ranked voting system and introduce Kenneth Arrow s impossibility theorem (1951). We provide a proof sketch
More informationRanking Specific Sets of Objects
Ranking Specific Sets of Objects Jan Maly, Stefan Woltran PPI17 @ BTW 2017, Stuttgart March 7, 2017 Lifting rankings from objects to sets Given A set S A linear order < on S A family X P(S) \ { } of nonempty
More informationSingle-plateaued choice
Single-plateaued choice Walter Bossert Department of Economics and CIREQ, University of Montreal P.O. Box 6128, Station Downtown Montreal QC H3C 3J7, Canada walter.bossert@umontreal.ca and Hans Peters
More informationMATH 19-02: HW 5 TUFTS UNIVERSITY DEPARTMENT OF MATHEMATICS SPRING 2018
MATH 19-02: HW 5 TUFTS UNIVERSITY DEPARTMENT OF MATHEMATICS SPRING 2018 As we ve discussed, a move favorable to X is one in which some voters change their preferences so that X is raised, while the relative
More informationRecap Social Choice Functions Fun Game Mechanism Design. Mechanism Design. Lecture 13. Mechanism Design Lecture 13, Slide 1
Mechanism Design Lecture 13 Mechanism Design Lecture 13, Slide 1 Lecture Overview 1 Recap 2 Social Choice Functions 3 Fun Game 4 Mechanism Design Mechanism Design Lecture 13, Slide 2 Notation N is the
More informationarxiv: v1 [cs.gt] 9 Apr 2015
Stronger Impossibility Results for Strategy-Proof Voting with i.i.d. Beliefs arxiv:1504.02514v1 [cs.gt] 9 Apr 2015 Samantha Leung Cornell University samlyy@cs.cornell.edu Edward Lui Cornell University
More informationRANKING SETS OF OBJECTS
17 RANKING SETS OF OBJECTS Salvador Barberà* Walter Bossert** and Prasanta K. Pattanaik*** *Universitat Autònoma de Barcelona **Université de Montréal and C.R.D.E. ***University of California at Riverside
More informationGood and bad objects: the symmetric difference rule. Abstract
Good and bad objects: the symmetric difference rule Dinko Dimitrov Tilburg University Peter Borm Tilburg University Ruud Hendrickx Tilburg University Abstract We consider the problem of ranking sets of
More informationCommittee Selection with a Weight Constraint Based on Lexicographic Rankings of Individuals
Committee Selection with a Weight Constraint Based on Lexicographic Rankings of Individuals Christian Klamler 1, Ulrich Pferschy 2, and Stefan Ruzika 3 1 University of Graz, Institute of Public Economics,
More informationLogic and Social Choice Theory. A Survey. ILLC, University of Amsterdam. November 16, staff.science.uva.
Logic and Social Choice Theory A Survey Eric Pacuit ILLC, University of Amsterdam staff.science.uva.nl/ epacuit epacuit@science.uva.nl November 16, 2007 Setting the Stage: Logic and Games Game Logics Logics
More informationSocial Choice. Jan-Michael van Linthoudt
Social Choice Jan-Michael van Linthoudt Summer term 2017 Version: March 15, 2018 CONTENTS Remarks 1 0 Introduction 2 1 The Case of 2 Alternatives 3 1.1 Examples for social choice rules............................
More informationSocial Welfare Functions that Satisfy Pareto, Anonymity, and Neutrality: Countable Many Alternatives. Donald E. Campbell College of William and Mary
Social Welfare Functions that Satisfy Pareto, Anonymity, and Neutrality: Countable Many Alternatives Donald E. Campbell College of William and Mary Jerry S. Kelly Syracuse University College of William
More information"Arrow s Theorem and the Gibbard-Satterthwaite Theorem: A Unified Approach", by Phillip Reny. Economic Letters (70) (2001),
February 25, 2015 "Arrow s Theorem and the Gibbard-Satterthwaite Theorem: A Unified Approach", by Phillip Reny. Economic Letters (70) (2001), 99-105. Also recommended: M. A. Satterthwaite, "Strategy-Proof
More information13 Social choice B = 2 X X. is the collection of all binary relations on X. R = { X X : is complete and transitive}
13 Social choice So far, all of our models involved a single decision maker. An important, perhaps the important, question for economics is whether the desires and wants of various agents can be rationally
More informationThe Gibbard random dictatorship theorem: a generalization and a new proof
SERIEs (2011) 2:515 527 DOI 101007/s13209-011-0041-z ORIGINAL ARTICLE The Gibbard random dictatorship theorem: a generalization and a new proof Arunava Sen Received: 24 November 2010 / Accepted: 10 January
More informationOrdered Value Restriction
Ordered Value Restriction Salvador Barberà Bernardo Moreno Univ. Autònoma de Barcelona and Univ. de Málaga and centra March 1, 2006 Abstract In this paper, we restrict the pro les of preferences to be
More informationHans Peters, Souvik Roy, Soumyarup Sadhukhan, Ton Storcken
Hans Peters, Souvik Roy, Soumyarup Sadhukhan, Ton Storcken An Extreme Point Characterization of Strategyproof and Unanimous Probabilistic Rules over Binary Restricted Domains RM/16/012 An Extreme Point
More informationStrategy-proof allocation of indivisible goods
Soc Choice Welfare (1999) 16: 557±567 Strategy-proof allocation of indivisible goods Lars-Gunnar Svensson Department of Economics, Lund University, P.O. Box 7082, SE-220 07 of Lund, Sweden (e-mail: lars-gunnar.svensson@nek.lu.se)
More informationCharacterizations of Pareto-efficient, fair, and strategy-proof allocation rules in queueing problems
Characterizations of Pareto-efficient, fair, and strategy-proof allocation rules in queueing problems Çağatay Kayı and Eve Ramaekers For updated version: http://troi.cc.rochester.edu/ ckyi/kr2006.pdf This
More informationDICTATORIAL DOMAINS. Navin Aswal University of Minnesota, Minneapolis, USA Shurojit Chatterji Indian Statistical Institute, New Delhi, India and
DICTATORIAL DOMAINS Navin Aswal University of Minnesota, Minneapolis, USA Shurojit Chatterji Indian Statistical Institute, New Delhi, India and Arunava Sen Indian Statistical Institute, New Delhi, India
More informationAntonio Quesada Universidad de Murcia. Abstract
From social choice functions to dictatorial social welfare functions Antonio Quesada Universidad de Murcia Abstract A procedure to construct a social welfare function from a social choice function is suggested
More informationEfficiency and Incentives in Randomized Social Choice
Technische Universität München Department of Mathematics Master s Thesis Efficiency and Incentives in Randomized Social Choice Florian Brandl Supervisor: Prof. Felix Brandt Submission Date: September 28,
More informationStrategy-Proofness on the Condorcet Domain
College of William and Mary W&M ScholarWorks Undergraduate Honors Theses Theses, Dissertations, & Master Projects 5-2008 Strategy-Proofness on the Condorcet Domain Lauren Nicole Merrill College of William
More informationApproval Voting for Committees: Threshold Approaches
Approval Voting for Committees: Threshold Approaches Peter Fishburn Aleksandar Pekeč WORKING DRAFT PLEASE DO NOT CITE WITHOUT PERMISSION Abstract When electing a committee from the pool of individual candidates,
More informationAn equity-efficiency trade-off in a geometric approach to committee selection Daniel Eckert and Christian Klamler
An equity-efficiency trade-off in a geometric approach to committee selection Daniel Eckert and Christian Klamler An equity-efficiency trade-off in a geometric approach to committee selection Daniel Eckert
More informationCoalitional Strategy-Proofness in Economies with Single-Dipped Preferences and the Assignment of an Indivisible Object
Games and Economic Behavior 34, 64 82 (2001) doi:10.1006/game.1999.0789, available online at http://www.idealibrary.com on Coalitional Strategy-Proofness in Economies with Single-Dipped Preferences and
More informationAPPLIED MECHANISM DESIGN FOR SOCIAL GOOD
APPLIED MECHANISM DESIGN FOR SOCIAL GOOD JOHN P DICKERSON Lecture #3 09/06/2016 CMSC828M Tuesdays & Thursdays 12:30pm 1:45pm REMINDER: SEND ME TOP 3 PRESENTATION PREFERENCES! I LL POST THE SCHEDULE TODAY
More informationLogic and Social Choice Theory
To appear in A. Gupta and J. van Benthem (eds.), Logic and Philosophy Today, College Publications, 2011. Logic and Social Choice Theory Ulle Endriss Institute for Logic, Language and Computation University
More informationApproval Voting: Three Examples
Approval Voting: Three Examples Francesco De Sinopoli, Bhaskar Dutta and Jean-François Laslier August, 2005 Abstract In this paper we discuss three examples of approval voting games. The first one illustrates
More informationThe Beach Party Problem: An informal introduction to continuity problems in group choice *
The Beach Party Problem: An informal introduction to continuity problems in group choice * by Nick Baigent Institute of Public Economics, Graz University nicholas.baigent@kfunigraz.ac.at Fax: +44 316 3809530
More informationNecessary and Sufficient Conditions for the Strategyproofness of Irresolute Social Choice Functions
Necessary and Sufficient Conditions for the Strategyproofness of Irresolute Social Choice Functions Felix Brandt Technische Universität München 85748 Garching bei München, Germany brandtf@in.tum.de Markus
More informationPoints-based rules respecting a pairwise-change-symmetric ordering
Points-based rules respecting a pairwise-change-symmetric ordering AMS Special Session on Voting Theory Karl-Dieter Crisman, Gordon College January 7th, 2008 A simple idea Our usual representations of
More informationSet-Rationalizable Choice and Self-Stability
Set-Rationalizable Choice and Self-Stability Felix Brandt and Paul Harrenstein Technische Universität München 85748 Garching bei München, Germany {brandtf,harrenst}@in.tum.de Rationalizability and similar
More informationEconomic Core, Fair Allocations, and Social Choice Theory
Chapter 9 Nathan Smooha Economic Core, Fair Allocations, and Social Choice Theory 9.1 Introduction In this chapter, we briefly discuss some topics in the framework of general equilibrium theory, namely
More informationarxiv: v1 [cs.gt] 1 May 2017
Rank Maximal Equal Contribution: a Probabilistic Social Choice Function Haris Aziz and Pang Luo and Christine Rizkallah arxiv:1705.00544v1 [cs.gt] 1 May 2017 1 Data61, CSIRO and UNSW, Sydney, NSW 2033,
More informationCoalitional Structure of the Muller-Satterthwaite Theorem
Coalitional Structure of the Muller-Satterthwaite Theorem Pingzhong Tang and Tuomas Sandholm Computer Science Department Carnegie Mellon University {kenshin,sandholm}@cscmuedu Abstract The Muller-Satterthwaite
More informationParticipation Incentives in Randomized Social Choice
Participation Incentives in Randomized Social Choice Haris Aziz Data61 and UNSW, Sydney, Australia arxiv:1602.02174v2 [cs.gt] 8 Nov 2016 Abstract When aggregating preferences of agents via voting, two
More informationChapter 12: Social Choice Theory
Chapter 12: Social Choice Theory Felix Munoz-Garcia School of Economic Sciences Washington State University 1 1 Introduction In this chapter, we consider a society with I 2 individuals, each of them endowed
More informationVoting with Ties: Strong Impossibilities via SAT Solving
Voting with Ties: Strong Impossibilities via SAT Solving Felix Brandt Technische Universität München Munich, Germany brandtf@in.tum.de Christian Saile Technische Universität München Munich, Germany saile@in.tum.de
More informationGibbard s Theorem. Patrick Le Bihan. 24. April Jean Monnet Centre of Excellence
1 1 Jean Monnet Centre of Excellence 24. April 2008 : If an aggregation rule is quasi-transitive, weakly Paretian and independent of irrelevant alternatives, then it is oligarchic. Definition: Aggregation
More informationOn the Tradeoff between Economic Efficiency and Strategyproofness in Randomized Social Choice
On the Tradeoff between Economic Efficiency and Strategyproofness in Randomized Social Choice Haris Aziz NICTA and UNSW Australia haris.aziz@nicta.com.au Felix Brandt TU München Germany brandtf@in.tum.de
More informationA Generalization of Probabilistic Serial to Randomized Social Choice
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence A Generalization of Probabilistic Serial to Randomized Social Choice Haris Aziz NICTA and UNSW, Sydney 2033, Australia haris.aziz@nicta.com.au
More informationThema Working Paper n Université de Cergy Pontoise, France
Thema Working Paper n 2010-02 Université de Cergy Pontoise, France Sincere Scoring Rules Nunez Matias May, 2010 Sincere Scoring Rules Matías Núñez May 2010 Abstract Approval Voting is shown to be the unique
More informationFollow links for Class Use and other Permissions. For more information send to:
COPYRIGHT NOTICE: Ariel Rubinstein: Lecture Notes in Microeconomic Theory is published by Princeton University Press and copyrighted, c 2006, by Princeton University Press. All rights reserved. No part
More informationStrategic Manipulation and Regular Decomposition of Fuzzy Preference Relations
Strategic Manipulation and Regular Decomposition of Fuzzy Preference Relations Olfa Meddeb, Fouad Ben Abdelaziz, José Rui Figueira September 27, 2007 LARODEC, Institut Supérieur de Gestion, 41, Rue de
More informationProbabilistic Aspects of Voting
Probabilistic Aspects of Voting UUGANBAATAR NINJBAT DEPARTMENT OF MATHEMATICS THE NATIONAL UNIVERSITY OF MONGOLIA SAAM 2015 Outline 1. Introduction to voting theory 2. Probability and voting 2.1. Aggregating
More informationThe Arrow Impossibility Theorem Of Social Choice Theory In An Infinite Society And Limited Principle Of Omniscience
Applied Mathematics E-Notes, 8(2008), 82-88 c ISSN 1607-2510 Available free at mirror sites of http://www.math.nthu.edu.tw/ amen/ The Arrow Impossibility Theorem Of Social Choice Theory In An Infinite
More informationPolitical Economy of Institutions and Development: Problem Set 1. Due Date: Thursday, February 23, in class.
Political Economy of Institutions and Development: 14.773 Problem Set 1 Due Date: Thursday, February 23, in class. Answer Questions 1-3. handed in. The other two questions are for practice and are not
More informationAntipodality in committee selection. Abstract
Antipodality in committee selection Daniel Eckert University of Graz Christian Klamler University of Graz Abstract In this paper we compare a minisum and a minimax procedure as suggested by Brams et al.
More informationA Characterization of Single-Peaked Preferences via Random Social Choice Functions
A Characterization of Single-Peaked Preferences via Random Social Choice Functions Shurojit Chatterji, Arunava Sen and Huaxia Zeng September 2014 Paper No. 13-2014 ANY OPINIONS EXPRESSED ARE THOSE OF THE
More informationPolitical Economy of Institutions and Development. Lectures 2 and 3: Static Voting Models
14.773 Political Economy of Institutions and Development. Lectures 2 and 3: Static Voting Models Daron Acemoglu MIT February 7 and 12, 2013. Daron Acemoglu (MIT) Political Economy Lectures 2 and 3 February
More informationArrow s Impossibility Theorem: Preference Diversity in a Single-Profile World
Arrow s Impossibility Theorem: Preference Diversity in a Single-Profile World Brown University Department of Economics Working Paper No. 2007-12 Allan M. Feldman Department of Economics, Brown University
More informationLearning from paired comparisons: three is enough, two is not
Learning from paired comparisons: three is enough, two is not University of Cambridge, Statistics Laboratory, UK; CNRS, Paris School of Economics, France Paris, December 2014 2 Pairwise comparisons A set
More informationIncentive-Compatible Voting Rules with Positively Correlated Beliefs
Incentive-Compatible Voting Rules with Positively Correlated Beliefs Mohit Bhargava, Dipjyoti Majumdar and Arunava Sen August 13, 2014 Abstract We study the consequences of positive correlation of beliefs
More informationPreference, Choice and Utility
Preference, Choice and Utility Eric Pacuit January 2, 205 Relations Suppose that X is a non-empty set. The set X X is the cross-product of X with itself. That is, it is the set of all pairs of elements
More informationArrow s Impossibility Theorem: Two Simple Single-Profile Versions
Arrow s Impossibility Theorem: Two Simple Single-Profile Versions Brown University Department of Economics Working Paper Allan M. Feldman Department of Economics, Brown University Providence, RI 02912
More informationSocial Algorithms. Umberto Grandi University of Toulouse. IRIT Seminar - 5 June 2015
Social Algorithms Umberto Grandi University of Toulouse IRIT Seminar - 5 June 2015 Short presentation PhD from Universiteit van Amsterdam, 2012 Institute for Logic, Language and Computation Supervisor:
More informationCMU Social choice: Advanced manipulation. Teachers: Avrim Blum Ariel Procaccia (this time)
CMU 15-896 Social choice: Advanced manipulation Teachers: Avrim Blum Ariel Procaccia (this time) Recap A Complexity-theoretic barrier to manipulation Polynomial-time greedy alg can successfully decide
More informationA MAXIMAL DOMAIN FOR STRATEGY-PROOF AND NO-VETOER RULES IN THE MULTI-OBJECT CHOICE MODEL
Discussion Paper No. 809 A MAXIMAL DOMAIN FOR STRATEGY-PROOF AND NO-VETOER RULES IN THE MULTI-OBJECT CHOICE MODEL Kantaro Hatsumi Dolors Berga Shigehiro Serizawa April 2011 The Institute of Social and
More informationRobust mechanism design and dominant strategy voting rules
Theoretical Economics 9 (2014), 339 360 1555-7561/20140339 Robust mechanism design and dominant strategy voting rules Tilman Börgers Department of Economics, University of Michigan Doug Smith Federal Trade
More information14.770: Introduction to Political Economy Lectures 1 and 2: Collective Choice and Voting
14.770: Introduction to Political Economy Lectures 1 and 2: Collective Choice and Voting Daron Acemoglu MIT September 6 and 11, 2017. Daron Acemoglu (MIT) Political Economy Lectures 1 and 2 September 6
More informationFinding Strategyproof Social Choice Functions via SAT Solving
Finding Strategyproof Social Choice Functions via SAT Solving Felix Brandt and Christian Geist Abstract A promising direction in computational social choice is to address open research problems using computer-aided
More informationarxiv: v1 [cs.gt] 29 Mar 2014
Testing Top Monotonicity Haris Aziz NICTA and UNSW Australia, Kensington 2033, Australia arxiv:1403.7625v1 [cs.gt] 29 Mar 2014 Abstract Top monotonicity is a relaxation of various well-known domain restrictions
More informationFACULTY FEATURE ARTICLE 5 Arrow s Impossibility Theorem: Two Simple Single-Profile Versions
FACULTY FEATURE ARTICLE 5 Arrow s Impossibility Theorem: Two Simple Single-Profile Versions Allan M. Feldman Department of Economics Brown University Providence, RI 02912 Allan_Feldman@Brown.edu http://www.econ.brown.edu/fac/allan_feldman
More informationCompetition and Resource Sensitivity in Marriage and Roommate Markets
Competition and Resource Sensitivity in Marriage and Roommate Markets Bettina Klaus This Version: April 2010 Previous Versions: November 2007 and December 2008 Abstract We consider one-to-one matching
More informationRanking Sets of Objects
Cahier 2001-02 Ranking Sets of Objects BARBERÀ, Salvador BOSSERT, Walter PATTANAIK, Prasanta K. Département de sciences économiques Université de Montréal Faculté des arts et des sciences C.P. 6128, succursale
More informationPreference Orders on Families of Sets When Can Impossibility Results Be Avoided?
Preference Orders on Families of Sets When Can Impossibility Results Be Avoided? Jan Maly 1, Miroslaw Truszczynski 2, Stefan Woltran 1 1 TU Wien, Austria 2 University of Kentucky, USA jmaly@dbai.tuwien.ac.at,
More informationGroup strategy-proof social choice functions with binary ranges and arbitrary domains: characterization
Group strategy-proof social choice functions with binary ranges and arbitrary domains: characterization results 1 Salvador Barberà y Dolors Berga z and Bernardo Moreno x February 8th, 2011 Abstract: We
More informationRanking Sets of Objects by Using Game Theory
Ranking Sets of Objects by Using Game Theory Roberto Lucchetti Politecnico di Milano IV Workshop on Coverings, Selections and Games in Topology, Caserta, June 25 30, 2012 Summary Preferences over sets
More informationSet-Rationalizable Choice and Self-Stability
Set-Rationalizable Choice and Self-Stability Felix Brandt and Paul Harrenstein Ludwig-Maximilians-Universität München 80538 Munich, Germany {brandtf,harrenst}@tcs.ifi.lmu.de arxiv:0910.3580v3 [cs.ma] 24
More informationIndividual and Social Choices
Individual and Social Choices Ram Singh Lecture 17 November 07, 2016 Ram Singh: (DSE) Social Choice November 07, 2016 1 / 14 Preferences and Choices I Let X be the set of alternatives R i be the weak preference
More information