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Efficient algorithm for designing weighted voting games
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Aziz, H., Paterson, Michael S. and Leech, Dennis (2007) Efficient algorithm for designing weighted voting games. University of Warwick. Department of Computer Science. (Department of Computer Science Research Report).
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Abstract
Weighted voting games are mathematical models, used to analyse situations where voters with variable voting weight vote in favour of or against a decision. They have been applied in various political and economic organizations. Similar combinatorial models are also encountered in neuro-science and distributed systems. The calculation of voting powers of players in a weighted voting game has been extensively researched in the last few years. However, the inverse problem of designing a weighted voting game with a desirable distribution of power has received less attention. We present an elegant algorithm which uses generating functions and interpolation to compute an integer weight vector for target Banzhaf power indices. This algorithm has better performance than any other known to us. It can also be used to design egalitarian two-tier weighted voting games and the representative weighted voting game for a multiple weighted voting game.
| Item Type: | Report | ||||
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| Subjects: | H Social Sciences > HB Economic Theory H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management J Political Science > JF Political institutions (General) Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
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| Divisions: | Faculty of Science > Computer Science | ||||
| Library of Congress Subject Headings (LCSH): | Generating functions, Decision making -- Mathematical models, Voting -- Mathematical models, Game theory | ||||
| Series Name: | Department of Computer Science Research Report | ||||
| Publisher: | University of Warwick. Department of Computer Science | ||||
| Official Date: | 20 May 2007 | ||||
| Dates: |
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| Date of first compliant deposit: | 28 July 2016 | ||||
| Number: | Number 434 | ||||
| Number of Pages: | 22 | ||||
| DOI: | CS-RR-434 | ||||
| Institution: | University of Warwick | ||||
| Theses Department: | Department of Computer Science | ||||
| Status: | Not Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Open Access | ||||
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