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Ethics and the Continuum Hypothesis

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Book cover Algorithms and Complexity in Mathematics, Epistemology, and Science

Part of the book series: Fields Institute Communications ((FIC,volume 82))

Abstract

Mathematics and ethics are surprisingly similar. To some extent this is obvious, since neither looks to laboratory experiments nor sensory experience of any kind as a source of evidence. Both are based on reason and something commonly call “intuition.” This is not all. Interestingly, mathematics and ethics both possess similar distinctions between pure and applied. I explore some of the similarities and draw methodological lessons from them. We can use these lessons to explore how and why Freiling’s refutation of the continuum hypothesis might be justified.

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Notes

  1. 1.

    There are a few notable exceptions, such as some of the authors in [12], and especially [2], [5], and [13]. These three take a different view from mine.

  2. 2.

    For more on this see [1].

  3. 3.

    See Borwein’s home page for his several books, articles, and various projects: https://www.carma.newcastle.edu.au/jon/.

  4. 4.

    For more detail, see [19], an early and influential source.

  5. 5.

    Rob Corless points out that with computers we can “zoom in” on a function and get a better look at the slope. So, (7) is arguably not so metaphorical, after all.

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Acknowledgements

Thanks to Paul Bartha, Philipp Berghofer, Mark Colyvan, Rob Corless, Nic Fillion, Chris Freiling, Tom Hurka, Tracy Issacs, Mary Leng, Kathleen Okruhlik, Debbie Roberts, Zvonimir Šikić, John Sipe, Alan Sokal, and Harald Wiltsche for discussions of various issues including information about ethical intuitions and the thin-thick distinction. Thanks also to an anonymous referee who provided several useful remarks. Finally, I am grateful to various audiences who heard versions of this material, especially at the ACMES conference at The University of Western Ontario, May 12–15, 2016.

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Correspondence to James Robert Brown .

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Brown, J.R. (2019). Ethics and the Continuum Hypothesis. In: Fillion, N., Corless, R., Kotsireas, I. (eds) Algorithms and Complexity in Mathematics, Epistemology, and Science. Fields Institute Communications, vol 82. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-9051-1_1

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