geometric approach to paradoxes of voting power
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GEOMETRIC APPROACH TO PARADOXES OF VOTING POWER Workshop on Voting - PDF document

GEOMETRIC APPROACH TO PARADOXES OF VOTING POWER Workshop on Voting Theory and Preference Modelling Sponsored by DIMACS and LAMSADE Paris, Universit e Paris Dauphine 28 October 2006 Michael A. Jones Department of Mathematical Sciences


  1. GEOMETRIC APPROACH TO PARADOXES OF VOTING POWER Workshop on Voting Theory and Preference Modelling Sponsored by DIMACS and LAMSADE Paris, Universit´ e Paris Dauphine 28 October 2006 Michael A. Jones Department of Mathematical Sciences Montclair State University Montclair, NJ 07043, USA jonesm@mail.montclair.edu 1

  2. Short History of the Literature on Power Indices Applications • Examining existent institutions: International Monetary Fund (Dreyer and Schotter, 1980; Leech, 2002b), the Electoral College (Mann and Shapley, 1964), the European Union Council of Ministers (Johnston, 1995; Leech, 2002a), and the Israeli Knesset (Laruelle, 2001). • Part of debate about the design of new institutions: new members in the EU (Turnovec, 1996; Widgr´ en, 1994). 2

  3. Short History of the Literature on Power Indices Applications • Examining existent institutions: International Monetary Fund (Dreyer and Schotter, 1980; Leech, 2002b), the Electoral College (Mann and Shapley, 1964), the European Union Council of Ministers (Johnston, 1995; Leech, 2002a), and the Israeli Knesset (Laruelle, 2001). • Part of debate about the design of new institutions: new members in the EU (Turnovec, 1996; Widgr´ en, 1994). Counterintuitive results • paradox of redistribution (Dreyer and Schotter, 1980; Schotter, 1981), the donor and transfer paradoxes (Felsenthal and Machover, 1998), the paradox of quarreling members (Kilgour, 1974), the paradox of a new member (Brams, 1975; Brams and Affuso, 1976), and the paradox of large size (Brams, 1975; Shapley, 1953) 3

  4. Short History of the Literature on Power Indices Applications • Examining existent institutions: International Monetary Fund (Dreyer and Schotter, 1980; Leech, 2002b), the Electoral College (Mann and Shapley, 1964), the European Union Council of Ministers (Johnston, 1995; Leech, 2002a), and the Israeli Knesset (Laruelle, 2001). • Part of debate about the design of new institutions: new members in the EU (Turnovec, 1996; Widgr´ en, 1994). Counterintuitive results • paradox of redistribution (Dreyer and Schotter, 1980; Schotter, 1981), the donor and transfer paradoxes (Felsenthal and Machover, 1998), the paradox of quarreling members (Kilgour, 1974), the paradox of a new member (Brams, 1975; Brams and Affuso, 1976), and the paradox of large size (Brams, 1975; Shapley, 1953) • Analyzing the domain and its geometry results in a classification of paradoxes of voting power 4

  5. Voting, Simple Voting, and Simple Weighted-Voting Games Voter i ’s power in a voting game is defined by � p i = λ S [ v ( S ) − v ( S/i )] S ⊆ N where the set of parameters λ S indicates the specific measure of power (power index, semivalue, etc. ). • v ( S ) − v ( S/i ): value added to S by voter i • Simple Voting Game: v ( S ) − v ( S/i ) = 0 or 1 • Simple Weighted-Voting Game − Finite set of voters N = { 1 , 2 , . . ., n } − Voter i ’s vote carries weight w i such that w = � n i =1 w i − There exists a quota q ∗ where w 2 < q ∗ ≤ w − For S ⊆ N , � 0 if � i ∈ S w i < q ∗ , v ( S ) = 1 if � i ∈ S w i ≥ q ∗ . 5

  6. Partitioning the Normalized Simplex (Domain) into Win- ning and Losing Coalitions w and q = q ∗ • Let x i = w i w . • ( x 1 , x 2 , . . . , x n ) can be viewed as a point on the simplex where x i ≥ 0 and � n i =1 x i = 1 6

  7. Partitioning the Normalized Simplex (Domain) into Win- ning and Losing Coalitions w and q = q ∗ • Let x i = w i w . • ( x 1 , x 2 , . . . , x n ) can be viewed as a point on the simplex where x i ≥ 0 and � n i =1 x i = 1 • Winning and losing coalitions . . . � 0 if � i ∈ S x i < q, v ( S ) = 1 if � i ∈ S x i ≥ q. • What is the effect of this equation? − Equations of the form � i ∈ S x i = q partition the simplex into winning and losing coalitions 7

  8. Power Indices and Generalized Power Indices • Many different power indices ( e.g. , measuring P -power or I -power) − Banzhaf (1965), Shapley-Shubik (1954), Coleman (1971), Penrose (1946), Deegan and Packel (1982), etc. • Geometry is independent of the particular power index − Even though certain power indices may not be susceptible to a specific paradox, when the paradox occurs we will understand what is happening − For concreteness, I will refer to specific power indices in examples but will be clear about what generalizes to all power indices 8

  9. Power Indices and Generalized Power Indices • Many different power indices ( e.g. , measuring P -power or I -power) − Banzhaf (1965), Shapley-Shubik (1954), Coleman (1971), Penrose (1946), Deegan and Packel (1982), etc. • Geometry is independent of the particular power index − Even though certain power indices may not be susceptible to a specific paradox, when the paradox occurs we will understand what is happening − For concreteness, I will refer to specific power indices in examples but will be clear about what generalizes to all power indices − Geometry for 3 voters is enough to understand the geometry behind paradoxes of voting power 9

  10. Power Indices and Generalized Power Indices • For a quota q , a power index is a map from the normalized simplex to R n : P q : S n − 1 → R n + where R + represents nonnegative real numbers. • Power Indices must satisfy the following conditions: 1. (Invariance) If σ is a permutation of the set of voters N , then voter i ’s power in [ q ; x 1 , . . ., x n ] should be the same as voter σ ( i ) = j in the permuted game [ q ; y 1 , . . . , y n ] where y j = x i . Equivalently, P q ( x 1 , x 2 , . . ., x n ) i = P q ( y 1 , y 2 , . . . , y n ) j where σ ( i ) = j and y j = x σ ( i ) for all i. 2. (Symmetry) If two voters are members of identical winning coalitions, then they have the same power. 3. (Dummy voter) If a voter a is never part of a minimal winning coalition, then voter a ’s power is 0. 10

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