Slow and steady wins the race: Approximating Nash equilibria in nonlinear quadratic tracking games

Arbeitspapier

We propose a meta-heuristic approach for solving nonlinear dynamic tracking games. In contrast to more "traditional" methods based on linear-quadratic (LQ) techniques, this derivative-free method is very flexible (e.g. to introduce inequality constraints). The meta-heuristic is applied to a three-player dynamic game and tested versus derivative-dependent method in approximating Nash solution in different game specifications. We demonstrate the superiority of the proposed approach in identifying Nash equilibria, where LQ methods are not applicable.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Jena Economic Research Papers ; No. 2015-011

Classification and Topics

• Classification: Wirtschaft ; Optimization Techniques; Programming Models; Dynamic Analysis ; Computational Techniques; Simulation Modeling ; Noncooperative Games ; Stochastic and Dynamic Games; Evolutionary Games; Repeated Games ; Policy Objectives; Policy Designs and Consistency; Policy Coordination
• Subject: differential evolution ; dynamic games ; nash equilibrium

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Blueschke, Dmitri ; Blueschke-Nikolaeva, Victoria ; Savin, Ivan
• Event: Veröffentlichung
• (who): Friedrich Schiller University Jena
• (where): Jena
• (when): 2015

Further information

• Handle: http://hdl.handle.net/10419/121282
• Last update: 10.03.2025, 11:44 AM CET