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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Attractor(as used in dynamical systems and chaos theory): A pattern or state that a changing system tends to move toward and settle into over time, like how a marble rolling in a bowl gravitates toward the bottom.
Chaos theory(describes sensitivity to initial conditions): A branch of mathematics and physics studying systems where tiny changes in starting conditions lead to wildly different results—like how a butterfly's wing flap could theoretically cause a hurricane elsewhere.
Imperfect model(as used to describe limitations in how we represent systems): A simplified or incomplete version of reality used to understand something, knowing it doesn't capture every detail perfectly.
State-space representation(as used to describe how we model complex systems): A mathematical way of describing all the possible conditions or 'states' a system can be in, like a map of everywhere a system could go.

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