TY - GEN
T1 - How similar are two elections?
AU - Faliszewski, Piotr
AU - Skowron, Piotr
AU - Slinko, Arkadii
AU - Szufa, Stanislaw
AU - Talmon, Nimrod
N1 - Funding Information:
Acknowledgents. Piotr Faliszewski was supported by AGH University statutory research grant 11.11.230.337. Piotr Skowron was supported by the Foundation for Polish Science within the Homing programme (Project title: “Normative Comparison of Multiwinner Election Rules”). Arkadii Slinko was supported by Marsden Fund grant 3706352 of The Royal Society of New Zealand. Stanisław Szufa was supported by the National Science Centre, Poland (project 2018/29/N/ST6/01303). We are very grateful to AAAI reviewers for their thorough remarks.
Publisher Copyright:
© 2019, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - We introduce the ELECTION ISOMORPHISM problem and a family of its approximate variants, which we refer to as dISOMORPHISM DISTANCE (d-ID) problems (where d is a metric between preference orders). We show that ELECTION ISOMORPHISM is polynomial-time solvable, and that the dISOMORPHISM DISTANCE problems generalize various classic rank-aggregation methods (e.g., those of Kemeny and Litvak). We establish the complexity of our problems (including their inapproximability) and provide initial experiments regarding the ability to solve them in practice.
AB - We introduce the ELECTION ISOMORPHISM problem and a family of its approximate variants, which we refer to as dISOMORPHISM DISTANCE (d-ID) problems (where d is a metric between preference orders). We show that ELECTION ISOMORPHISM is polynomial-time solvable, and that the dISOMORPHISM DISTANCE problems generalize various classic rank-aggregation methods (e.g., those of Kemeny and Litvak). We establish the complexity of our problems (including their inapproximability) and provide initial experiments regarding the ability to solve them in practice.
UR - http://www.scopus.com/inward/record.url?scp=85087277247&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85087277247
T3 - 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019
SP - 1909
EP - 1916
BT - 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019
PB - AAAI press
T2 - 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019
Y2 - 27 January 2019 through 1 February 2019
ER -