Adapting Stable Matchings to Evolving Preferences
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F20%3A00341903" target="_blank" >RIV/68407700:21240/20:00341903 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1609/aaai.v34i02.5550" target="_blank" >https://doi.org/10.1609/aaai.v34i02.5550</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1609/aaai.v34i02.5550" target="_blank" >10.1609/aaai.v34i02.5550</a>
Alternative languages
Result language
angličtina
Original language name
Adapting Stable Matchings to Evolving Preferences
Original language description
Adaptivity to changing environments and constraints is key to success in modern society. We address this by proposing “incrementalized versions” of Stable Marriage and Stable Roommates. That is, we try to answer the following question: for both problems, what is the computational cost of adapting an existing stable matching after some of the preferences of the agents have changed. While doing so, we also model the constraint that the new stable matching shall be not too different from the old one. After formalizing these incremental versions, we provide a fairly comprehensive picture of the computational complexity landscape of Incremental Stable Marriage and Incremental Stable Roommates. To this end, we exploit the parameters “degree of change” both in the input (difference between old and new preference profile) and in the output (difference between old and new stable matching). We obtain both hardness and tractability results, in particular showing a fixed-parameter tractability result with respect to the parameter “distance between old and new stable matching”.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the AAAI Conference on Artificial Intelligence
ISBN
—
ISSN
2159-5399
e-ISSN
2374-3468
Number of pages
8
Pages from-to
1830-1837
Publisher name
AAAI Press
Place of publication
Menlo Park
Event location
New York
Event date
Feb 7, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—