2026-06-21T14:38:40Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/38422024-05-13T10:37:50Zcom_10259_3830com_10259_5086com_10259_2604col_10259_3832

Izquierdo, Segismundo S. Izquierdo Millán, Luis Rodrigo 2015-09-16T11:28:03Z 2015-09-16T11:28:03Z 2013-04 0022-4715 http://hdl.handle.net/10259/3842 10.1007/s10955-012-0654-z This paper illustrates how a deterministic approximation of a stochastic process can be usefully applied to analyse the dynamics of many simple simulation models. To demonstrate the type of results that can be obtained using this approximation, we present two illustrative examples which are meant to serve as methodological references for researchers exploring this area. Finally, we prove some convergence results for simulations of a family of evolutionary games, namely, intra-population imitation models in n-player games with arbitrary payoffs. eng info:eu-repo/semantics/openAccess Stochastic approximation Mean dynamic Markov models Evolutionary games Stochastic Approximation to Understand Simple Simulation Models info:eu-repo/semantics/article