English

Partitioned Combinatorial Optimization Games

Computer Science and Game Theory 2025-08-27 v1

Abstract

We propose a class of cooperative games, called d Partitioned Compbinatorial Optimization Games (PCOGs). The input of PCOG consists of a set of agents and a combinatorial structure (typically a graph) with a fixed optimization goal on this structure (e.g., finding a minimum dominating set on a graph) such that the structure is divided among the agents. The value of each coalition of agents is derived from the optimal solution for the part of the structure possessed by the coalition. We study two fundamental questions related to the core: Core Stability Verification and Core Stability Existence. We analyze the algorithmic complexity of both questions for four classic graph optimization tasks: minimum vertex cover, minimum dominating set, minimum spanning tree, and maximum matching.

Keywords

Cite

@article{arxiv.2508.18449,
  title  = {Partitioned Combinatorial Optimization Games},
  author = {Jiehua Chen and Christian Hatschka and Sofia Simola},
  journal= {arXiv preprint arXiv:2508.18449},
  year   = {2025}
}

Comments

Extended abstract accepted at ECAI 2025

R2 v1 2026-07-01T05:05:24.355Z