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    No matter how fine-grained the model state space is made,... — Carmelics
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    Supports→There will always be many more target system states than model states for any computational model

    No matter how fine-grained the model state space is made, many different ontological states of the target system will map into the same epistemic state of the model

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    Computational models require discretization of equations, which further limits t...The faithful model assumption implies the nonlinear model state space is a faith...There will always be many more target system states than model states for any co...

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    There will always be many more target system states than model states ...77%Even with infinite past observations, the unknown ontological state of...75%The epistemic model has a single state w where the strategy profile σ(...74%Fully analytical models could in principle achieve an exact match betw...73%

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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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