A Membrane Computing Approach to the Generalized Nash Equilibrium
Computer Science and Game Theory
2025-04-24 v1
Abstract
In Evolutionary Game Theory (EGT), a population reaches a Nash equilibrium when none of the agents can improve its objective by solely changing its strategy on its own. Roughly speaking, this equilibrium is a protection against betrayal. Generalized Nash Equilibrium (GNE) is a more complex version of this idea with important implications in real-life problems in economics, wireless communication, the electricity market, or engineering among other areas. In this paper, we propose a first approach to GNE with Membrane Computing techniques and show how GNE problems can be modeled with P systems, bridging both areas and opening a door for a flow of problems and solutions in both directions.
Keywords
Cite
@article{arxiv.2404.17671,
title = {A Membrane Computing Approach to the Generalized Nash Equilibrium},
author = {Alejandro Luque-Cerpa and Miguel A. Gutiérrez-Naranjo},
journal= {arXiv preprint arXiv:2404.17671},
year = {2025}
}