Abstract
In this commentary to Napoletani et al. (Found Sci 16:1–20, 2011), we argue that the approach the authors adopt suggests that neural nets are mathematical techniques rather than models of cognitive processing, that the general approach dates as far back as Ptolemy, and that applied mathematics is more than simply applying results from pure mathematics.
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References
Baik J.-J., Paek J.-S. (2000) A neural network model for predicting typhoon intensity. Journal of the Meteorological Society of Japan 78: 857–869
Humphreys P. (2004) Extending ourselves: Computational science, empiricism, and scientific method. Oxford University Press, New York
Napoletani D., Panza M., Struppa D. C. (2011) Agnostic science: Towards a philosophy of data analysis. Foundations of Science 16: 1–20
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Humphreys, P. Data Analysis: Models or Techniques?. Found Sci 18, 579–581 (2013). https://doi.org/10.1007/s10699-012-9317-4
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DOI: https://doi.org/10.1007/s10699-012-9317-4