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<dc:creator>Izquierdo, Segismundo S.</dc:creator>
<dc:creator>Izquierdo Millán, Luis Rodrigo</dc:creator>
<dc:date>2013-04</dc:date>
<dc:description>This paper illustrates how a deterministic approximation of a stochastic process&#xd;
can be usefully applied to analyse the dynamics of many simple simulation models. To&#xd;
demonstrate the type of results that can be obtained using this approximation, we present two&#xd;
illustrative examples which are meant to serve as methodological references for researchers&#xd;
exploring this area. Finally, we prove some convergence results for simulations of a family&#xd;
of evolutionary games, namely, intra-population imitation models in n-player games with&#xd;
arbitrary payoffs.</dc:description>
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<dc:language>eng</dc:language>
<dc:publisher>Springer Verlag (Germany)</dc:publisher>
<dc:title>Stochastic Approximation to Understand Simple Simulation Models</dc:title>
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