Iterative voting and acyclic games
- Submitting institution
-
King's College London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 87343207
- Type
- D - Journal article
- DOI
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10.1016/j.artint.2017.08.002
- Title of journal
- ARTIFICIAL INTELLIGENCE
- Article number
- -
- First page
- 100
- Volume
- 252
- Issue
- -
- ISSN
- 0004-3702
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
-
-
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Full account of an innovative model of Iterative Voting, first introduced in the preliminary AAAI10 version and subsequently inspiring body of research, including PhD dissertations (Omer Lev, Hebrew University 2015; Loreggia, Padova 2016) and papers (Branzei AAAI13, Reijngoud AAMAS12), proving its power to provide election predictions, eliminate low-quality outcomes, and model the electorate response to poll data. The topic of Chapter 4 "Trends in Computational Social Choice" (2017), university courses (Stanford: Topics in Social Algorithms; Amsterdam: Computational Social Choice), summer schools (EASSS-2011, CretaMASSS-2013), workshops (MAPLE2019, CoCoRICo-CoDec May-2019), tutorials (at AAMAS15 and IJCAI17) and invited talks (e.g., https://www.utwente.nl/en/eemcs/dmmp/events/cgtday/).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -