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    Home/Original/inverse
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    Inverse View

    It is not the case that The presence of a strange attractor in a model's state space does not constitute an explanation of chaotic behavior in the target system.

    ?Set your confidence on the premises below to see your aggregate.

    Reasons For

    1 perspective
    Reason for
    ?
    • 1.A strange attractor is an object in state space, not in the physical space of the target system's activity.
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    • 2.A trajectory in state space is a way of gaining useful information about the target system via the faithful model assumption, but it is different from trajectories of how an actual system's properties change with respect to time.
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    • 3.The fact that a trajectory in state space spirals toward a strange attractor does not imply that the target system's behavior in physical space is approaching that attractor (except possibly under the perfect model scenario).
      ?

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    Reasons Against

    2 perspectives
    Reason against 1 of 2
    ?
    • 1.Explanation requires ontic grounding: the explanans must cite causally efficacious features of the target system, not artifacts of representational choice.
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      Think about whether this reason is strong or weak

    • 2.Strange attractors are representational constructs whose existence depends on the mathematical embedding chosen, not invariant features of the physical system.
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    • 3.Salmon's causal-mechanical account and Woodward's interventionist framework both require that genuine explanations track real causal structure, which state-space geometry does not guarantee.
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    Reason against 2 of 2
    ?
    • 1.Under the 'imperfect model' scenario standard in chaos theory, there is no unique state-space representation, so no single attractor can be the explanatory ground for observed behavior.
      ?

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    • 2.If explanatory force derives from the attractor's mathematical properties rather than any physical mechanism in the target system, the explanation is merely instrumental, not ontic.
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    • 3.Cartwright's critique of theoretical laws shows that mathematically elegant structures in models regularly fail to describe the causally active components actually producing the phenomenon.
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