When forming coalitions, agents have different utilities per coalition. Game-theoretic approaches typically assume that the scalar utility for each agent for each coalition is public information. However, we argue that this is not a realistic assumption, as agents may not want to divulge this information or are even incapable of expressing it. To mitigate this, we propose the multi-criteria coalition formation game model, in which there are different publicly available quality metrics (corresponding to different criteria) for which a value is publicly available for each coalition. The agents have private utility functions that determine their preferences with respect to these criteria, and thus also with respect to the different coalitions. Assuming that we can ask agents to compare two coalitions, we propose a heuristic (best response) algorithm for finding stable partitions in MC2FGs: local stability search (LSS). We show that while theoretically individually stable partitions need not exist in MC2FGs in general, empirically stable partitions can be found. Furthermore, we show that we can find individually stable partitions after asking only a small number of comparisons, which is highly important for applying this model in practice.

Original languageEnglish
Title of host publicationAlgorithmic Decision Theory - 5th International Conference, ADT 2017, Proceedings
Subtitle of host publication5th International Conference, ADT 2017, Luxembourg, Luxembourg, October 25–27, 2017, Proceedings
EditorsJorg Rothe
Number of pages17
ISBN (Electronic)978-3-319-67504-6
Publication statusPublished - 1 Jan 2017
EventInternational Conference on Algorithmic Decision Theory - Hotel Parc-Belle-Vue 5, Avenue Marie-Thérèse L – 2132 Luxembourg., Luxembourg, Luxembourg
Duration: 25 Oct 201727 Oct 2017
Conference number: 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10576 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Algorithmic Decision Theory
Abbreviated titleADT
Internet address

    Research areas

  • Coalition formation games, Hedonic games, Local search, Multi-criteria, Preference elicitation

ID: 36362656