A Map of Diverse Synthetic Stable Matching Instances

Niclas Boehmer, Klaus Heeger, Stanisław Szufa

Research output: Contribution to journalArticlepeer-review

Abstract

Focusing on Stable Roommates (SR), we contribute to the toolbox for conducting experiments for stable matching problems. We introduce the polynomial-time computable mutual attraction distance to measure the similarity of SR instances, analyze its properties, and use it to create a map of SR instances. This map visualizes 460 synthetic SR instances (each sampled from one of ten different statistical cultures) as follows: Each instance is a point in the plane, and two points are close on the map if the corresponding SR instances are similar with respect to our mutual attraction distance to each other. Subsequently, we conduct several illustrative experiments and depict their results on the map, illustrating the map’s usefulness as a non-aggregate visualization tool, the diversity of our generated dataset, and the need to use instances sampled from different statistical cultures. Lastly, we extend our approach to the bipartite Stable Marriage problem.

Original languageEnglish
Pages (from-to)1113-1166
Number of pages54
JournalJournal Of Artificial Intelligence Research
Volume79
DOIs
StatePublished - 1 Jan 2024
Externally publishedYes

ASJC Scopus subject areas

  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'A Map of Diverse Synthetic Stable Matching Instances'. Together they form a unique fingerprint.

Cite this