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    Assuming the model is perfect, there are too many states ... — Carmelics
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    Supports→Confirmation of chaotic models is problematic even under the assumption of a perfect model

    Assuming the model is perfect, there are too many states indistinguishable from the actual state of the system

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    Confirmation of chaotic models is problematic even under the assumption of a per...If multiple distinct states produce empirically indistinguishable trajectories, ...These indistinguishable states yield empirically indistinguishable trajectories ...

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    The number of available states is fixed exogenously by the modeler78%There will always be many more target system states than model states ...77%An exact correspondence between the number of possible model states an...76%Fully analytical models could in principle achieve an exact match betw...74%

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    Recall that SD—exponential divergence of neighboring trajectories—is taken by many to be a necessary condition for chaos. As we saw in §3, it is not straightforward to confirm when we have a model serving as a good explanation because, for instance, the slightest refinement of initial conditions can lead to wildly differing behavior. So on many standard approaches to confirmation and models, it would be difficult to say when we had a good explanation. Even if we push the faithful model assumpt

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