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.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Jena Economic Research Papers ; No. 2015-011

Klassifikation und Themen

• Klassifikation: 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
• Thema: differential evolution ; dynamic games ; nash equilibrium

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Blueschke, Dmitri ; Blueschke-Nikolaeva, Victoria ; Savin, Ivan
• Ereignis: Veröffentlichung
• (wer): Friedrich Schiller University Jena
• (wo): Jena
• (wann): 2015

Weitere Informationen

• Handle: http://hdl.handle.net/10419/121282
• Letzte Aktualisierung: 10.03.2025, 11:44 MEZ