Title :
An algebraic approach for the NCE principle with massive subpopulations
Author_Institution :
Sch. of Math. & Stat., Carleton Univ., Ottawa, ON, Canada
Abstract :
We study large population stochastic dynamic games where each agent receives influences from multi-classes of agents according to intra- and inter-subpopulation cost coupling. The NCE principle developed in our previous works gave decentralized asymptotic Nash strategies; however, its solubility depends on a conservative fixed point analysis which does not lead to easy computation of the solution. In this paper we apply a different algebraic approach via a state space augmentation, and it is convenient for practical computation involving first a set of algebraic Riccati equations subject to consistency constraints and next a set of ordinary differential equations.
Keywords :
Riccati equations; costing; differential equations; game theory; stochastic processes; Nash certainty equivalence; algebraic Riccati equation; decentralized asymptotic Nash strategy; differential equation; inter-subpopulation cost coupling; intra-subpopulation cost coupling; massive subpopulations; population stochastic dynamic games; state space augmentation; Biological system modeling; Biology computing; Costs; Differential algebraic equations; Differential equations; Industrial relations; Optimal control; Riccati equations; State-space methods; Stochastic processes;
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2009.5400447