English

Multi-Topic Projected Opinion Dynamics for Resource Allocation

Systems and Control 2025-09-10 v1 Computer Science and Game Theory Multiagent Systems Social and Information Networks Systems and Control

Abstract

We propose a model of opinion formation on resource allocation among multiple topics by multiple agents, who are subject to hard budget constraints. We define a utility function for each agent and then derive a projected dynamical system model of opinion evolution assuming that each agent myopically seeks to maximize its utility subject to its constraints. Inter-agent coupling arises from an undirected social network, while inter-topic coupling arises from resource constraints. We show that opinions always converge to the equilibrium set. For special networks with very weak antagonistic relations, the opinions converge to a unique equilibrium point. We further show that the underlying opinion formation game is a potential game. We relate the equilibria of the dynamics and the Nash equilibria of the game and characterize the unique Nash equilibrium for networks with no antagonistic relations. Finally, simulations illustrate our findings.

Keywords

Cite

@article{arxiv.2509.07847,
  title  = {Multi-Topic Projected Opinion Dynamics for Resource Allocation},
  author = {Prashil Wankhede and Nirabhra Mandal and Sonia Martínez and Pavankumar Tallapragada},
  journal= {arXiv preprint arXiv:2509.07847},
  year   = {2025}
}

Comments

8 pages, 4 figures, accepted for presentation in IEEE Conference on Decision and Control (CDC), 2025

R2 v1 2026-07-01T05:28:36.542Z