On Nash-Stackelberg-Nash Games under Decision-Dependent Uncertainties: Model and Equilibrium
Yunfan Zhang, Feng Liu, Zhaojian Wang, Yue Chen, Shuanglei Feng,, Qiuwei Wu, Yunhe Hou

TL;DR
This paper introduces a new framework for analyzing hierarchical Nash-Stackelberg-Nash games with decision-dependent uncertainties, establishing equilibrium existence and illustrating the impact of uncertainties on strategic interactions.
Contribution
It formulates N-S-N games under decision-dependent uncertainties, defines a new equilibrium concept, and proves its existence using fixed-point theory.
Findings
Equilibrium exists under decision-dependent uncertainties.
Uncertainty strategies influence players' equilibrium decisions.
Illustrative example demonstrates the impact of DDUs on game outcomes.
Abstract
In this paper, we discuss a class of two-stage hierarchical games with multiple leaders and followers, which is called Nash-Stackelberg-Nash (N-S-N) games. Particularly, we consider N-S-N games under decision-dependent uncertainties (DDUs). DDUs refer to the uncertainties that are affected by the strategies of decision-makers and have been rarely addressed in game equilibrium analysis. In this paper, we first formulate the N-S-N games with DDUs of complete ignorance, where the interactions between the players and DDUs are characterized by uncertainty sets that depend parametrically on the players' strategies. Then, a rigorous definition for the equilibrium of the game is established by consolidating generalized Nash equilibrium and Pareto-Nash equilibrium. Afterward, we prove the existence of the equilibrium of N-S-N games under DDUs by applying Kakutani's fixed-point theorem. Finally,…
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Taxonomy
TopicsFuzzy Systems and Optimization · Process Optimization and Integration
