Abstract
Stochastic adaptive dynamics require analytical methods and solution concepts that differ in important ways from those used to study deterministic processes. Consider, for example, the notion of asymptotic stability: in a deterministic dynamical system, a state is locally asymptotically stable if any sufficiently small deviation from the original state is self-correcting. We can think of this as a first step toward analysing the effect of stochastic shocks; that is, a state is locally asymptotically stable if, after the impact of a small, one-time shock, the process evolves back to its original state.
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Durlauf, S.N., Blume, L.E. (2010). Stochastic Adaptive Dynamics. In: Durlauf, S.N., Blume, L.E. (eds) Game Theory. The New Palgrave Economics Collection. Palgrave Macmillan, London. https://doi.org/10.1057/9780230280847_34
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DOI: https://doi.org/10.1057/9780230280847_34
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