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    Carmelics

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    Home/Original/inverse
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    Inverse View

    It is not the case that Chaos explanations are complementary to full model simulations.

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    Reasons For

    2 perspectives
    Reason for 1 of 2
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    • 1.Duhem argued that auxiliary hypotheses mediate between theoretical models and phenomena, making cross-model 'complementarity' an artifact of underdetermination.
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    • 2.What appears as complementarity between chaos explanations and simulations may simply reflect that both are independently compatible with the same underdetermined data.
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    • 3.If two models agree only because both fit underdetermined evidence, their agreement provides no additional explanatory or predictive warrant.
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    Reason for 2 of 2
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    • 1.Chaos models and full simulations rest on incompatible idealizations: chaos theory requires infinite-time limits that finite simulations cannot instantiate.
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    • 2.When two frameworks require mutually exclusive mathematical conditions, their relationship is rivalry, not complementarity.
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    Reasons Against

    1 perspective
    Reason against
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    • 1.Chaos models can tell us when and where to expect qualitative changes in nonlinear dynamics, such as the onset of complicated dynamics.
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    • 2.Full nonlinear model simulations yield precise values of system variables when degrees of freedom are reasonable.
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    • 3.Chaos models do not themselves yield precise values of system variables, but identify the conditions under which dynamical changes occur in full simulations.
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