Presentation is loading. Please wait.

Presentation is loading. Please wait.

Degree of Manipulability and Efficiency of Manipulation of Known Voting Rules in the Case of Multiple Choice Fuad Aleskerov (NRU HSE) Daniel Karabekyan.

Similar presentations


Presentation on theme: "Degree of Manipulability and Efficiency of Manipulation of Known Voting Rules in the Case of Multiple Choice Fuad Aleskerov (NRU HSE) Daniel Karabekyan."— Presentation transcript:

1 Degree of Manipulability and Efficiency of Manipulation of Known Voting Rules in the Case of Multiple Choice Fuad Aleskerov (NRU HSE) Daniel Karabekyan (NRU HSE) Remzi M. Sanver (Istanbul Bilgi University, Turkey) Vyacheslav Yakuba (ICS RAS) Grants SU-HSE # RFBR # А

2 Ways to study the problem
Theoretical approach Gibbard (1973), Satterthwaite (1975) Computational approach Kelly (1993), Aleskerov, Kurbanov (1998)

3 Example Plurality rule C (Psincere) = {a,e}
Group 1 (2 аgents) Group 2 (3 аgents) Group 3 (4 agents) Group 4 (5 agents) a b e d c Plurality rule C (Psincere) = {a,e} Group 1 declare “b” as their best alternative, then C (Pinsincere) = {b} What is better: {a,e} or {b}?

4 Plurality rule and 3 alternatives

5 How we deal with Multiple Choice?
Weak Manipulation Kelly’s Dominance Axiom Worst alternative in X is at least as good as the best alternative in Y. Gardenfor’s Principle If X was constructed by adding better alternatives to Y or/and eliminating worse alternatives from Y EU method with equal probability assumption

6 Kelly’s Dominance Axiom

7 Gardenfor’s Principle

8 EUCEPA

9 Strong manipulation 3 algorithms with additional restrictions
Main assumption – we can compare all sets of alternatives 3 alternatives – 4 methods EP1 EP2 EP3 EP4 4 alt. – 10 methods; 5 alt.– 12 methods

10 Indices Kelly’s index

11 Rules a c b Plurality Approval Voting q=2 Borda r(a)=4, r(b)=3, r(с)=2
Agent 1 Agent 2 Agent 3 a c b Plurality Approval Voting q=2 Borda r(a)=4, r(b)=3, r(с)=2 Black Threshold

12 Computation Two methods: look-through and statistical
Hard to compute – (5,5) – about 25 billions profiles. Using anonymity we can look only on 225 millions profiles. Open question: How can we use neutrality and anonymity at the same time? For example, (3,3) – 216 profiles, using anonimity – 56, using both – 10.

13 Results EP1) EP2) EP3) EP4) (3;4) Method1: Method2: Method3: Method4:
Kelly’s DA p1 Plurality (0,1852) 0,3333 p2 Approval q=2 0,2963 p6 Borda (0,3102) 0,3611 0,4028 0,2917 p7 Black (0,1435) 0,2361 0,2778 0,1667 p28 Threshold

14 Kelly’s index EP1

15 Kelly’s index EP1

16 Kelly’s index EP2

17 Kelly’s index EP2

18 Kelly’s index

19

20 Indices - better off - worse off - nothing changed

21

22

23 Efficiency of manipulation
stands at the k-th place from top stands at the j-th place from top

24

25 Further research Weak manipulation
Consider IAC and introduce new indices for this case. Study coalitional manipulation

26 Thank you!


Download ppt "Degree of Manipulability and Efficiency of Manipulation of Known Voting Rules in the Case of Multiple Choice Fuad Aleskerov (NRU HSE) Daniel Karabekyan."

Similar presentations


Ads by Google