Master data

Title: Optgame - approximating equilibrium solutions of multi decision maker difference games
Description:

Games taking place in a shared environment are characterized by the fact that the effectiveness of individual decisions heavily depends on the decisions of other players. Our algorithm OPTGAME is able to approximate the evolution of choices to be made if a number of independent decision makers seek to reach individually desirable states. The evolution of states subject to control is described by a system of nonlinear difference equations. We call this a „tracking game“, since is an extension of the linear regulator problem (also known as „tracking problem“) that is well known from LQ optimal control theory.

OPTGAME is a tool that steers the control and state paths towards desired outcomes. It is novel in a way that it works for game theoretic systems with nonlinear constraints. It searches for equilibrium solutions by iteratively applying a sequence of local linearization and optimization over the entire planning horizon. The tool yields three types of non-cooperative equilibrium solutions (open-loop Nash equilibrium, feedback Nash equilibrium, feedback Stackelberg equilibrium) plus one cooperative solution (Pareto-optimal strategy).

Keywords:
Type: Guest lecture
Homepage: http://demesos.blogspot.co.at/2014/03/solving-tracking-game.html
Event: SOCraTES (Seminar on Complexity, Smart grids, Evolution and Embedded Systems) (Alpen-Adria Universität Klagenfurt)
Date: 04.07.2013
lecture status:

Participants

Assignment

Organisation Address
Fakultät für Wirtschafts- und Rechtswissenschaften
 
Institut für Volkswirtschaftslehre
Universitätsstr. 65-67
A-9020 Klagenfurt
Austria
  -994102
   vwl2@aau.at
https://www.aau.at/volkswirtschaftslehre/
To organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt
Fakultät für Wirtschafts- und Rechtswissenschaften
 
Institut für Unternehmensführung
 
Abteilung für Controlling und Strategische Unternehmensführung
Universitätsstrasse 67
9020 Klagenfurt
Austria
   IFU_CSU@aau.at
https://www.aau.at/csu
To organisation
Universitätsstrasse 67
AT - 9020  Klagenfurt

Categorisation

Subject areas
  • 5953 - Game theory
Research Cluster
  • Self-organizing systems
Focus of lecture
  • Science to Science (Quality indicator: n.a.)
Group of participants
  • Mainly national
Published?
  • No
working groups No working group selected

Cooperations

No partner organisations selected