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MATHEMATICAL FOUNDATIONS OF INFORMATION TECHNOLOGY
On efficient schemes of estimating the degree of manipulability of aggregation procedures
A. A. Ivanovab a Institute of Control Sciences RAS, Moscow, Russia
b National Research University Higher School of Economics, Moscow, Russia
Abstract:
We study the algorithms for evaluation of manipulatility of aggregation procedures. We
consider 27 known aggregation procedures and generalized scoring rules, when the weights of second
or second and third alternatives are different. Both Impartial Culture and Impartial Anonymous Culture are studied. We calculate 6 manipulability indices including well-known Nitzan-Kelly index. We
provide asymptotic estimations of the computational complexity. It is shown that optimization allows
to calculate manipulability indices for aggregation procedures for the number of agents between 3 and
100 and for 3, 4 and 5 alternatives. The algorithms and their structures are discussed.
Keywords:
Manipulation, manipulability indices, aggregation procedures, scoring social choice rules.
Citation:
A. A. Ivanov, “On efficient schemes of estimating the degree of manipulability of aggregation procedures”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2020, no. 2, 38–50
Linking options:
https://www.mathnet.ru/eng/itvs408 https://www.mathnet.ru/eng/itvs/y2020/i2/p38
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Statistics & downloads: |
Abstract page: | 72 | Full-text PDF : | 29 |
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