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

Producción científica: Conference contributionrevisión exhaustiva

Resumen

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.

Idioma originalEnglish
Título de la publicación alojadaAlgorithmic Decision Theory - 8th International Conference, ADT 2024, Proceedings
EditoresRupert Freeman, Nicholas Mattei
Páginas243-257
Número de páginas15
DOI
EstadoPublished - 2025
Evento8th International Conference on Algorithmic Decision Theory, ADT 2024 - New Brunswick, United States
Duración: oct 14 2024oct 16 2024

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen15248 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conference

Conference8th International Conference on Algorithmic Decision Theory, ADT 2024
País/TerritorioUnited States
CiudadNew Brunswick
Período10/14/2410/16/24

Nota bibliográfica

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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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