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 language | English |
|---|---|
| Title of host publication | Algorithmic Decision Theory - 8th International Conference, ADT 2024, Proceedings |
| Editors | Rupert Freeman, Nicholas Mattei |
| Pages | 243-257 |
| Number of pages | 15 |
| DOIs | |
| State | Published - 2025 |
| Event | 8th International Conference on Algorithmic Decision Theory, ADT 2024 - New Brunswick, United States Duration: Oct 14 2024 → Oct 16 2024 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 15248 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 8th International Conference on Algorithmic Decision Theory, ADT 2024 |
|---|---|
| Country/Territory | United States |
| City | New Brunswick |
| Period | 10/14/24 → 10/16/24 |
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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