- class svvamp.RuleBucklin(**kwargs)[source]#
Bucklin method.
Options#
>>> RuleBucklin.print_options_parameters() cm_option: ['exact']. Default: 'exact'. icm_option: ['exact']. Default: 'exact'. iia_subset_maximum_size: is_number. Default: 2. im_option: ['exact']. Default: 'exact'. tm_option: ['exact']. Default: 'exact'. um_option: ['exact']. Default: 'exact'.
Notes
At counting round
r
, all voters who rank candidatec
inr
-th position gives her an additional vote. As soon as at least one candidate has more thann_v
/2 votes (accrued with previous rounds), the candidate with most votes is declared the winner. In case of a tie, the candidate with lowest index wins.is_cm_()
: Exact in polynomial time.is_icm_()
: Exact in polynomial time.is_im_()
: Exact in polynomial time.is_iia_()
: Non-polynomial or non-exact algorithms from superclassRule
.is_tm_()
: Exact in polynomial time.is_um_()
: Exact in polynomial time.
References
‘The Majoritarian Compromise in large societies’, Arkadii Slinko, 2002.
‘Complexity of Unweighted Coalitional Manipulation under Some Common Voting Rules’, Lirong Xia, Michael Zuckerman, Ariel D. Procaccia, Vincent Conitzer and Jeffrey S. Rosenschein, 2009.
Examples
>>> profile = Profile(preferences_ut=[ ... [ 0. , -0.5, -1. ], ... [ 1. , -1. , 0.5], ... [ 0.5, 0.5, -0.5], ... [ 0.5, 0. , 1. ], ... [-1. , -1. , 1. ], ... ], preferences_rk=[ ... [0, 1, 2], ... [0, 2, 1], ... [1, 0, 2], ... [2, 0, 1], ... [2, 1, 0], ... ]) >>> rule = RuleBucklin()(profile) >>> rule.demo_results_(log_depth=0) ************************ * * * Election Results * * * ************************ *************** * Results * *************** profile_.preferences_ut (reminder) = [[ 0. -0.5 -1. ] [ 1. -1. 0.5] [ 0.5 0.5 -0.5] [ 0.5 0. 1. ] [-1. -1. 1. ]] profile_.preferences_rk (reminder) = [[0 1 2] [0 2 1] [1 0 2] [2 0 1] [2 1 0]] ballots = [[0 1 2] [0 2 1] [1 0 2] [2 0 1] [2 1 0]] scores = [[2. 1. 2.] [4. 3. 3.] [5. 5. 5.]] candidates_by_scores_best_to_worst [0 1 2] scores_best_to_worst [[2. 1. 2.] [4. 3. 3.] [5. 5. 5.]] w = 0 score_w = [2. 4. 5.] total_utility_w = 1.0 ********************************* * Condorcet efficiency (rk) * ********************************* w (reminder) = 0 condorcet_winner_rk_ctb = 0 w_is_condorcet_winner_rk_ctb = True w_is_not_condorcet_winner_rk_ctb = False w_missed_condorcet_winner_rk_ctb = False condorcet_winner_rk = 0 w_is_condorcet_winner_rk = True w_is_not_condorcet_winner_rk = False w_missed_condorcet_winner_rk = False *************************************** * Condorcet efficiency (relative) * *************************************** w (reminder) = 0 condorcet_winner_ut_rel_ctb = 0 w_is_condorcet_winner_ut_rel_ctb = True w_is_not_condorcet_winner_ut_rel_ctb = False w_missed_condorcet_winner_ut_rel_ctb = False condorcet_winner_ut_rel = 0 w_is_condorcet_winner_ut_rel = True w_is_not_condorcet_winner_ut_rel = False w_missed_condorcet_winner_ut_rel = False *************************************** * Condorcet efficiency (absolute) * *************************************** w (reminder) = 0 condorcet_admissible_candidates = [ True False False] w_is_condorcet_admissible = True w_is_not_condorcet_admissible = False w_missed_condorcet_admissible = False weak_condorcet_winners = [ True False False] w_is_weak_condorcet_winner = True w_is_not_weak_condorcet_winner = False w_missed_weak_condorcet_winner = False condorcet_winner_ut_abs_ctb = 0 w_is_condorcet_winner_ut_abs_ctb = True w_is_not_condorcet_winner_ut_abs_ctb = False w_missed_condorcet_winner_ut_abs_ctb = False condorcet_winner_ut_abs = 0 w_is_condorcet_winner_ut_abs = True w_is_not_condorcet_winner_ut_abs = False w_missed_condorcet_winner_ut_abs = False resistant_condorcet_winner = nan w_is_resistant_condorcet_winner = False w_is_not_resistant_condorcet_winner = True w_missed_resistant_condorcet_winner = False >>> rule.demo_manipulation_(log_depth=0) ***************************** * * * Election Manipulation * * * ***************************** ********************************************* * Basic properties of the voting system * ********************************************* with_two_candidates_reduces_to_plurality = True is_based_on_rk = True is_based_on_ut_minus1_1 = False meets_iia = False **************************************************** * Manipulation properties of the voting system * **************************************************** Condorcet_c_ut_rel_ctb (False) ==> Condorcet_c_ut_rel (False) || || || Condorcet_c_rk_ctb (False) ==> Condorcet_c_rk (False) || || || || || || || V V || || V V Condorcet_c_ut_abs_ctb (False) ==> Condorcet_ut_abs_c (False) || || || || || V V || || maj_fav_c_rk_ctb (False) ==> maj_fav_c_rk (True) || || || || || V V V V majority_favorite_c_ut_ctb (False) ==> majority_favorite_c_ut (True) || || V V IgnMC_c_ctb (False) ==> IgnMC_c (True) || || V V InfMC_c_ctb (False) ==> InfMC_c (True) ***************************************************** * Independence of Irrelevant Alternatives (IIA) * ***************************************************** w (reminder) = 0 is_iia = True log_iia: iia_subset_maximum_size = 2.0 example_winner_iia = nan example_subset_iia = nan ********************** * c-Manipulators * ********************** w (reminder) = 0 preferences_ut (reminder) = [[ 0. -0.5 -1. ] [ 1. -1. 0.5] [ 0.5 0.5 -0.5] [ 0.5 0. 1. ] [-1. -1. 1. ]] v_wants_to_help_c = [[False False False] [False False False] [False False False] [False False True] [False False True]] ************************************ * Individual Manipulation (IM) * ************************************ is_im = False log_im: im_option = exact candidates_im = [0. 0. 0.] ********************************* * Trivial Manipulation (TM) * ********************************* is_tm = False log_tm: tm_option = exact candidates_tm = [0. 0. 0.] ******************************** * Unison Manipulation (UM) * ******************************** is_um = False log_um: um_option = exact candidates_um = [0. 0. 0.] ********************************************* * Ignorant-Coalition Manipulation (ICM) * ********************************************* is_icm = False log_icm: icm_option = exact candidates_icm = [0. 0. 0.] necessary_coalition_size_icm = [0. 6. 4.] sufficient_coalition_size_icm = [0. 6. 4.] *********************************** * Coalition Manipulation (CM) * *********************************** is_cm = False log_cm: cm_option = exact candidates_cm = [0. 0. 0.] necessary_coalition_size_cm = [0. 1. 3.] sufficient_coalition_size_cm = [0. 2. 4.]
- property candidates_by_scores_best_to_worst_#
1d array of integers. Candidates are sorted according to their scores during the counting round during which at least one candidate reaches majority.
By definition,
candidates_by_scores_best_to_worst_[0]
=w_
.
- property scores_#
2d array of integers.
scores[r, c]
is the accrued score of candidatec
at elimination roundr
. It is the number of voters who rankc
between 0-th andr
-th rank on their ballot.For information, ballot are still counted after the round where the decision is made (it is used for manipulation algorithms).
- property w_#
Integer (winning candidate). When at least one candidate has more than
n_v
/2 votes, the candidate with most votes gets elected. In case of a tie, the candidate with highest index wins.