RT info:eu-repo/semantics/article
T1 Stochastic Approximation to Understand Simple Simulation Models
A1 Izquierdo, Segismundo S.
A1 Izquierdo Millán, Luis Rodrigo
K1 Stochastic approximation
K1 Mean dynamic
K1 Markov models
K1 Evolutionary games
K1 Empresas-Gestión
K1 Industrial management
AB This paper illustrates how a deterministic approximation of a stochastic processcan be usefully applied to analyse the dynamics of many simple simulation models. Todemonstrate the type of results that can be obtained using this approximation, we present twoillustrative examples which are meant to serve as methodological references for researchersexploring this area. Finally, we prove some convergence results for simulations of a familyof evolutionary games, namely, intra-population imitation models in n-player games witharbitrary payoffs.
PB Springer Verlag (Germany)
SN 0022-4715
YR 2013
FD 2013-04
LK http://hdl.handle.net/10259/3842
UL http://hdl.handle.net/10259/3842
LA eng
NO Ministerio de Educación (JC2009- 00263), Ministerio de Ciencia e Innovación (CONSOLIDER-INGENIO 2010: CSD2010-00034,  DPI2010-16920)
DS Repositorio Institucional de la Universidad de Burgos
RD 19-abr-2024