Stable roommates with narcissistic, single-peaked, and single-crossing preferences

Robert Bredereck, Jiehua Chen, Ugo Paavo Finnendahl, Rolf Niedermeier

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

The classical Stable Roommates problem is to decide whether there exists a matching of an even number of agents such that no two agents which are not matched to each other would prefer to be with each other rather than with their respectively assigned partners. We investigate Stable Roommates with complete (i.e., every agent can be matched with any other agent) or incomplete preferences, with ties (i.e., two agents are considered of equal value to some agent) or without ties. It is known that in general allowing ties makes the problem NP-complete. We provide algorithms for Stable Roommates that are, compared to those in the literature, more efficient when the input preferences are complete and have some structural property, such as being narcissistic, single-peaked, and single-crossing. However, when the preferences are incomplete and have ties, we show that being single-peaked and single-crossing does not reduce the computational complexity—Stable Roommates remains NP-complete.

Original languageEnglish
Article number53
JournalAutonomous Agents and Multi-Agent Systems
Volume34
Issue number2
DOIs
StatePublished - 1 Oct 2020
Externally publishedYes

Keywords

  • Incomplete preferences
  • NP-completeness
  • Polynomial-time algorithms
  • Preferences with ties
  • Restricted preference domains
  • Stable matching

ASJC Scopus subject areas

  • Artificial Intelligence

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