recent trends in algorithms
play

Recent Trends in Algorithms National Institute of Science Education - PowerPoint PPT Presentation

Chamberlin-Courant on Restricted Domains Neeldhara Misra Recent Trends in Algorithms National Institute of Science Education and Research The standard Voting Setup The standard Voting Setup and typical computational problems. The standard


  1. Chamberlin-Courant on Restricted Domains Neeldhara Misra Recent Trends in Algorithms National Institute of Science Education and Research

  2. The standard Voting Setup

  3. The standard Voting Setup and typical computational problems.

  4. The standard Voting Setup and typical computational problems. Single-peaked & Single-Crossing Preferences

  5. The standard Voting Setup and typical computational problems. Single-peaked & Single-Crossing Preferences …better winner determination, greater resilience to manipulation, etc.

  6. The standard Voting Setup and typical computational problems. Single-peaked & Single-Crossing Preferences …better winner determination, greater resilience to manipulation, etc. Almost Special

  7. The standard Voting Setup and typical computational problems. Single-peaked & Single-Crossing Preferences …better winner determination, greater resilience to manipulation, etc. Almost Special Getting realistic about domain restrictions.

  8. The standard Voting Setup and typical computational problems. Single-peaked & Single-Crossing Preferences …better winner determination, greater resilience to manipulation, etc. Almost Special Getting realistic about domain restrictions. Concluding Remarks

  9. The standard Voting Setup and typical computational problems. Single-peaked & Single-Crossing Preferences …better winner determination, greater resilience to manipulation, etc. Almost Special Getting realistic about domain restrictions. Concluding Remarks Red flags and research directions.

  10. The standard Voting Setup

  11. The standard Voting Setup and typical computational problems.

  12. Candidates/Alternatives

  13. Voters express their preferences over alternatives (here, as rankings).

  14. Voters express their preferences over alternatives (could also be approval ballots).

  15. Social Choice Functions

  16. Social Welfare Functions

  17. &

  18. Multiwinner Voting Rules &

  19. Typical problems

  20. Typical problems What’s the “best” alternative?

  21. Typical problems What’s the “best” alternative? What ranking most closely reflects the overall “societal” opinion?

  22. Typical problems What’s the “best” alternative? What ranking most closely reflects the overall “societal” opinion? Do voters have incentives to lie about their preferences?

  23. Typical problems What’s the “best” alternative? What ranking most closely reflects the overall “societal” opinion? Do voters have incentives to lie about their preferences? How does the removal or duplication of an alternative affect the outcome?

  24. Typical problems Wi no er Determination What’s the “best” alternative? What ranking most closely reflects the overall “societal” opinion? Do voters have incentives to lie about their preferences? How does the removal or duplication of an alternative affect the outcome?

  25. Typical problems Wi no er Determination What’s the “best” alternative? Preference A gh regation What ranking most closely reflects the overall “societal” opinion? Do voters have incentives to lie about their preferences? How does the removal or duplication of an alternative affect the outcome?

  26. Typical problems Wi no er Determination What’s the “best” alternative? Preference A gh regation What ranking most closely reflects the overall “societal” opinion? Manipulation Do voters have incentives to lie about their preferences? How does the removal or duplication of an alternative affect the outcome?

  27. Typical problems Wi no er Determination What’s the “best” alternative? Preference A gh regation What ranking most closely reflects the overall “societal” opinion? Manipulation Do voters have incentives to lie about their preferences? Control How does the removal or duplication of an alternative affect the outcome?

  28. Voting Rules Some Examples

  29. Voting Rules Plurality

  30. (Plurality)

  31. (Plurality)

  32. The plurality winner can also be 
 among the least popular options. (Plurality)

  33. We say that a voter (or a group of voters) can manipulate if they can obtain a more desirable outcome by misreporting their preferences.

  34. (Plurality)

  35. (Plurality)

  36. (Plurality)

  37. (Plurality)

  38. This scheme is intended 
 only for honest men. Borda

  39. Voting Rules STV

  40. (STV)

  41. Voting Rules Condorcet

  42. An alternative that beats all the others in pairwise comparisons.

  43. An alternative that beats all the others in pairwise comparisons. (Condorcet)

  44. An alternative that beats all the others in pairwise comparisons.

  45. An alternative that beats all the others in pairwise comparisons.

  46. An alternative that beats all the others in pairwise comparisons. may not exist!

  47. Voting Rules Dodgson

  48. Dodgson

  49. Dodgson

  50. Dodgson Dodgson score of c Smallest #of swaps needed to 
 make c a Condorcet winner .

  51. Preference A gh regation Voting Rules Kemeny

  52. Kemeny

  53. Kemeny Kemeny score of a ranking Sum of pairwise agreements across all votes.

  54. Multiwi no er Voting Rules Chamberlin-Courant

  55. Chamberlin-Courant

  56. Chamberlin-Courant &

  57. Chamberlin-Courant &

  58. Chamberlin-Courant &

  59. Chamberlin-Courant CC-score score of a committee: maximum dissatisfaction across all votes.

  60. Chamberlin-Courant CC-score score of a committee: maximum dissatisfaction across all votes. More precisely…

  61. Voters Candidates

  62. Voters Candidates

  63. Voters Candidates

  64. Voters Candidates

  65. Voters Candidates dissatisfaction of voter v = rank of best candidate from the committee in his vote

  66. Single-peaked & Single-Crossing Preferences …better winner determination, greater resilience to manipulation, etc.

  67. Single Peaked Preferences Definition The Theory of Committees and Elections. Black, D. ,New York: Cambridge University Press, 1958

  68. A B C D E F G Left Center Right

  69. A B C D E F G Left Center Right

  70. A B C D E F G Left Center Right E D C F G B A

  71. A B C D E F G Left Center Right E D C F G B A E D F C B G A

  72. A B C D E F G Left Center Right

  73. A B C D E F G Left Center Right

  74. A B C D E F G Left Center Right If an agent with single-peaked preferences prefers x to y, one of the following must be true: x is the agent’s peak, - x and y are on opposite sides of the agent’s peak, or - x is closer to the peak than y. -

  75. A B C D E F G Left Center Right The notion is popular for several reasons: No Condorcet Cycles. - No incentive for an agent to misreport its preferences. - Identifiable in polynomial time. - Reasonable (?) model of actual elections. -

  76. Single Peaked Preferences Strategyproofness The Theory of Committees and Elections. Black, D. ,New York: Cambridge University Press, 1958

  77. A B C D E F G

  78. A B C D E F G

  79. A B C D E F G

  80. A B C D E F G Claim: D beats all other candidates in pairwise elections.

  81. A B C D E F G Claim: D beats all other candidates in pairwise elections.

  82. A B C D E F G Claim: D beats all other candidates in pairwise elections.

  83. A B C D E F G (Peak to the left of D, F further than D) Claim: D beats all other candidates in pairwise elections.

  84. A B C D E F G Claim: D beats all other candidates in pairwise elections.

  85. A B C D E F G Claim: D beats all other candidates in pairwise elections.

  86. A B C D E F G Claim: D beats all other candidates in pairwise elections.

  87. A B C D E F G (Peak to the right of D, B further than D) Claim: D beats all other candidates in pairwise elections.

  88. A B C D E F G Claim: Choosing D also leaves nobody with any incentive to manipulate.

Recommend


More recommend