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    Full nonlinear model simulations yield precise values of ... — Carmelics
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    Supports→Chaos explanations are complementary to full model simulations.

    Full nonlinear model simulations yield precise values of system variables when degrees of freedom are reasonable.

    CausationTruth & Knowledge
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    Chaos explanations are complementary to full model simulations.Chaos models can tell us when and where to expect qualitative changes in nonline...Chaos models do not themselves yield precise values of system variables, but ide...

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    Chaos models do not themselves yield precise values of system variable...81%Chaos models can tell us when and where to expect qualitative changes ...73%The faithful model assumption implies the nonlinear model state space ...73%Process-driven simulation requires that the simulating system S be rel...73%

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    Regarding (1), detailed predictions regarding individual trajectories fail rather rapidly for chaotic models when there is any error in specification of the initial state. So, says Kellert, instead we predict global behaviors of models and have an account of limited predictability in chaotic models. But many of these behaviors can be precisely predicted (e.g., control parameter values[9] at which various bifurcations occur, the onset of chaos, the return of n-periodic orbits). (1) amounts to i

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