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    Uncertainties in target systems are always larger than in... — Carmelics
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    Challenges→Formal definitions of chaos may not be applicable to actual physical and biological target systems

    Uncertainties in target systems are always larger than infinitesimal

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    Deriving sensitive dependence on initial conditions (SDIC) requires assumptions ...Formal definitions of chaos may not be applicable to actual physical and biologi...Formal definitions seek to fully characterize chaotic behavior in mathematical m...Target systems run for only a finite amount of time

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    Uncertainties in physical systems are always larger than infinitesimal90%There will always be many more target system states than model states ...76%The infinitesimal concept should be retained in the foundations of the...71%If the target language is hypothesized to be infinite, no finite set o...71%

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    The other worry is that the definitions we have been considering may only hold for our mathematical models, but may not be applicable to actual target systems. The formal definitions seek to fully characterize chaotic behavior in mathematical models, but we are also interested in capturing chaotic behavior in physical and biological systems as well. Phenomenologically, the kinds of chaotic behaviors we see in actual-world systems exhibit features such as SDIC, aperiodicity, unpredictability, ins

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