Partitioned Combinatorial Optimization Games
By: Jiehua Chen, Christian Hatschka, Sofia Simola
Potential Business Impact:
Helps groups of people share tasks fairly.
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.
Similar Papers
Solving Four Open Problems about Core Stability in Altruistic Hedonic Games
CS and Game Theory
Helps friends share fairly when forming groups.
Online Competitive Information Gathering for Partially Observable Trajectory Games
CS and Game Theory
Helps robots learn to outsmart opponents.
ε-Optimally Solving Two-Player Zero-Sum POSGs
CS and Game Theory
Lets computers play games they can't fully see.