Abstract
Iterative voting is a social choice mechanism that assumes all voters are strategic, and allows voters to change their stated preferences as the vote progresses until an equilibrium is reached (at which point no player wishes to change their vote). Previous research established that this process converges to an equilibrium for the plurality and veto voting methods and for no other scoring rule. We consider iterative voting for non-scoring rules, examining the major ones, and show that none of them converge when assuming (as most research has so far) that voters pursue a best response strategy. We investigate other potential voter strategies, with a more heuristic flavor (since for most of these voting rules, calculating the best response is NP-hard); we show that they also do not converge. We then conduct an empirical analysis of the iterative voting winners for these non-scoring rules, and compare the winner quality of various strategies.
Original language | English |
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Title of host publication | 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 |
Editors | Carles Sierra |
Publisher | International Joint Conferences on Artificial Intelligence |
Pages | 273-279 |
Number of pages | 7 |
ISBN (Electronic) | 9780999241103 |
DOIs | |
State | Published - 2017 |
Event | 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 - Melbourne, Australia Duration: 19 Aug 2017 → 25 Aug 2017 |
Publication series
Name | IJCAI International Joint Conference on Artificial Intelligence |
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Volume | 0 |
ISSN (Print) | 1045-0823 |
Conference
Conference | 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 |
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Country/Territory | Australia |
City | Melbourne |
Period | 19/08/17 → 25/08/17 |
Bibliographical note
Funding Information:This research has been partly funded by the HUJI Cyber Security Research Center in conjunction with the Israel National Cyber Bureau in the Prime Minister’s Office, by Israel Science Foundation grant #1227/12, and by NSERC grant 482671.