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    No matter how many observations of a system are made, the... — Carmelics
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    Supports→Uncertainty in epistemic states cannot be eliminated even with infinite past observations

    No matter how many observations of a system are made, there will always be a set of trajectories in model state space indistinguishable from the actual trajectory of the target system

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    SkepticismTruth & Knowledge

    Key Terms

    Indistinguishable(metaphysics and epistemology)
    Unable to be told apart or recognized as different; if two things are indistinguishable, there is no way to separate or identify them as distinct.
    Target system(as used in philosophy of science)
    The real-world thing you're trying to understand or study, as opposed to a simplified version of it.
    model state space(in philosophy of science and systems theory)

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    Related propositions within the same area of thought.
    A mathematical description of all the possible conditions or configurations a simplified representation of something could be in.
    observations of a system(in philosophy of science and epistemology)
    The data or measurements you collect about something (like temperature readings from a weather system or position measurements from a moving object).
    trajectories(as used in physics and philosophy)
    The paths that objects follow through space over time, like the arc of a thrown ball.
    underdetermination (implicit concept)(in epistemology and philosophy of science)
    The philosophical problem that multiple different explanations or models can fit the same observations equally well, so observations alone can't tell you which one is actually true.

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    Even with infinite past observations, the unknown ontological state of the targe...Uncertainty in epistemic states cannot be eliminated even with infinite past obs...

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    These indistinguishable states yield empirically indistinguishable tra...82%A trajectory in state space is a way of gaining useful information abo...80%Chaotic models can give us understanding of the behavior in correspond...77%Understanding of actual-world system behavior does not require model t...77%

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    Of course, we do not have perfect models. But even if we did, they are unlikely to live up to our intuitions about them (Judd and Smith 2001; Judd and Smith 2004). For example, no matter how many observations of a system are made, there still will be a set of trajectories in the model state space that are indistinguishable from the actual trajectory of the target system. Indeed, even for infinite past observations, we cannot eliminate the uncertainty in the epistemic states given some unknown on

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