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            "note": "<p>To conclude, I would like to stress that simulation does not simply fall <br />below established standards. It introduces and brings about new elements <br />of methodology and epistemology, thereby cultivating a new kind of mod- <br />eling: simulation modeling. This development has consequences on the <br />general level for how human (scientiﬁc) endeavors are conceptualized: By <br />decoupling understanding and insight, the technology of simulation <br />changes the very meaning of “understanding.” I do not question the <br />superior quality of theory-based explanations, but maybe they are out of <br />reach in many ﬁelds of nanoscience in which theory is often silent or only <br />whispers about behavior.</p>",
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            "note": "<p>In this respect, computer simulation is not without parallels. As Alfred <br />Nordmann pointed out in a discussion, the organisms of animals in med- <br />ical research imitate, or “simulate,” their human counterpart. I like this <br />analogy: Experiments with animals are often signiﬁcant for the treatment <br />of humans, and this research tradition has acquired much experience on <br />how to conduct meaningful experiments. The model itself, that is, the <br />animal organism and the way it works, however, remains opaque in im- <br />portant respects. In short, animal experiments can be viewed as a method <br />with which to circumvent a complexity barrier. Simulation models fulﬁll <br />a methodologically similar task. Of course, the analogy is not complete, <br />because simulation models are constructed from scratch. Thus, they pre- <br />sent an extreme case: Mathematical modeling, the paradigm of epistemic <br />lucidity, contributes to a mode of epistemic opacity!</p>",
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            "note": "<p>Thus Feynman’s account has been turned upside <br />down: His “a feeling for the consequences” may be developed, and a <br />researcher can acquire a kind of orientation within the model that is based <br />on experience of the model’s behavior (although that experience is me- <br />diated by the calculating machine), whereas the model itself remains ep- <br />istemically opaque.</p>",
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            "note": "<p>I shall argue that the <br />simulation approach opens up a new mode of scientiﬁc understanding based <br />on the deployment of epistemically opaque models whose behavior is <br />made assessable by simulation.</p>",
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            "note": "<p>This “amazement” is also theoretically amazing because well-known phys- <br />ical laws at the atomic level served as the basis of the simulation that, in <br />turn, showed unexpected behavior at the nanoscale.</p>",
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