Restricted Domains of Dichotomous Preferences with Possibly Incomplete Information

Authors
Publication date 2020
Book title AAMAS'20
Book subtitle proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems : May 9-13, 2020, Auckland, New Zealand
ISBN (electronic)
  • 9781450375184
Event 19th International Conference on Autonomous Agents and MultiAgent Systems
Pages (from-to) 2023-2025
Publisher Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
Restricted domains have been extensively studied within computational social choice, initially for voters' preferences that are total orders over the set of alternatives and subsequently for preferences that are dichotomous---i.e., that correspond to approved and disapproved alternatives. We contribute to the latter stream of work. We obtain forbidden subprofile characterisations for various important dichotomous domains, and we also study profiles with incomplete information about the voters' preferences. Specifically, we design polynomial algorithms to determine whether such incomplete profiles admit completions within certain restricted domains.
Document type Conference contribution
Note Extended abstract.
Language English
Published at http://www.ifaamas.org/Proceedings/aamas2020/pdfs/p2023.pdf https://dl.acm.org/doi/10.5555/3398761.3399062
Other links http://www.ifaamas.org/Proceedings/aamas2020/
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