Master data

Title: OPTGAME 2.0. An algorithm for equilibrium solutions of (non-)linear quadratic multi-player difference games
Description:

This talk presents the OPTGAME algorithm, which is developed to iteratively approximate equilibrium solutions of ‘tracking games’, i.e. discrete-time nonzero sum dynamic games with a finite number of players who face quadratic objective functions. Such a tracking game describes the behavior of decision makers who act upon a nonlinear discrete-time dynamical system, and who aim at minimizing the deviations from individually desirable paths of multiple states over a joint finite planning horizon.Among the noncooperative solution concepts, the OPTGAME algorithm approximates feedback Nash and Stackelberg equilibrium solutions, and the open-loop Nash solution, and the cooperative Pareto-optimal solution.

Keywords:
Type: Registered lecture
Homepage: http://www.isdg-site.org/default.aspx?page=isdg_meet
Event: 9th International Symposium on Dynamic Games (ISDG) (Adelaide)
Date: 19.12.2000
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

Categorisation

Subject areas
  • 101017 - Game theory
  • 101016 - Optimisation
  • 101027 - Dynamical systems
Research Cluster No research Research Cluster selected
Focus of lecture
  • Science to Science (Quality indicator: I)
Classification raster of the assigned organisational units:
Group of participants
  • Mainly international
Published?
  • Yes
working groups No working group selected

Cooperations

No partner organisations selected