Behavioral Traps and the Equilibrium Problem on Hadamard Manifolds
G. C. Bento, J. X. Cruz Neto, P.A. Soares Jr, A. Soubeyran

TL;DR
This paper establishes conditions for solving equilibrium problems on Hadamard manifolds, proposes a convergence framework for a proximal point algorithm, and applies it to behavioral traps in human decision-making.
Contribution
It introduces a new convergence analysis framework for equilibrium problems on Hadamard manifolds and applies it to behavioral traps using variational rationality.
Findings
Proposed a sufficient condition for equilibrium solutions on Hadamard manifolds.
Developed a convergence analysis framework for proximal point algorithms.
Applied the framework to behavioral traps in human behavior.
Abstract
In this paper we present a sufficient condition for the existence of a solution for an equilibrium problem on an Hadamard manifold and under suitable assumptions on the sectional curvature, we propose a framework for the convergence analysis of a proximal point algorithm to solve this equilibrium problem in finite time. Finally we offer an application to personal equilibrum problems as behavioral traps problems, using a recent "variational rationality" approach of human behavior.
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Taxonomy
TopicsOptimization and Variational Analysis · Game Theory and Voting Systems
