Adapting Stable Matchings to Evolving Preferences


  • Robert Bredereck Technische Universität Berlin
  • Jiehua Chen TU Wien
  • Dušan Knop Czech Technical University in Prague
  • Junjie Luo Technische Universität Berlin
  • Rolf Niedermeier Technische Universität Berlin



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”.




How to Cite

Bredereck, R., Chen, J., Knop, D., Luo, J., & Niedermeier, R. (2020). Adapting Stable Matchings to Evolving Preferences. Proceedings of the AAAI Conference on Artificial Intelligence, 34(02), 1830-1837.



AAAI Technical Track: Game Theory and Economic Paradigms