Core Stability and Nash Stability in k-Tiered Coalition Formation Games

Nathan Arnold, Judy Goldsmith

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The problem of k-tiered coalition formation games (k-TCFGs) has been considered for ranking members of a stochastic, intransitive round robin tournament, with the restriction that the ordering must have exactly k nonempty ranks for some integer k. As with other coalition formation games, an outcome of a k-TCFG may be evaluated for its stability, using the notions of Nash stability or core stability. An outcome is Nash stable if no one agent can move to a more preferable position, either by forming its own coalition or joining an existing one. An outcome is core stable if no set of agents can form a new coalition such that all agents in the set benefit. Previous research on k-TCFGs has focused on preferences derived from matchups, and has indicated that, under these matchup-oriented preferences, core stable outcomes may be significantly easier to find than Nash stable outcomes. However, the extent of this trend has not been explored. Here, we prove that for a key subset of k-TCFGs with matchup-oriented preferences, there is always at least one core stable partition. We include an illustration of the difference between Nash stabilizability and core stabilizability on an example game. We introduce a preference notation that can be used to represent any preference framework for k-TCFGs, and prove that under the subset of k-TCFGs which this notation can represent within polynomial space, the problem of determining if a game has a Nash stable list is NP-complete.

Original languageEnglish
Title of host publicationAlgorithmic Decision Theory - 8th International Conference, ADT 2024, Proceedings
EditorsRupert Freeman, Nicholas Mattei
Pages243-257
Number of pages15
DOIs
StatePublished - 2025
Event8th International Conference on Algorithmic Decision Theory, ADT 2024 - New Brunswick, United States
Duration: Oct 14 2024Oct 16 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15248 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Algorithmic Decision Theory, ADT 2024
Country/TerritoryUnited States
CityNew Brunswick
Period10/14/2410/16/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland 2025.

Keywords

  • Computational Social Choice
  • Game Theory
  • Preference Modeling

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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