Hostname: page-component-848d4c4894-cjp7w Total loading time: 0 Render date: 2024-07-07T12:32:34.987Z Has data issue: false hasContentIssue false
  • English
  • Français

Measuring as a New Mode of Inquiry That Bridges Evolutionary Game Theory and Cancer Biology

Published online by Cambridge University Press:  25 May 2022

Artem Kaznatcheev Open the ORCID record for Artem Kaznatcheev [Opens in a new window]  and
Chia-Hua Lin Open the ORCID record for Chia-Hua Lin [Opens in a new window]
Artem Kaznatcheev
Affiliation:
Department of Biology, University of Pennsylvania, Philadelphia, PA, US
Chia-Hua Lin*
Affiliation:
Institute of European and American Studies, Taipei, Taiwan, R.O.C.
*
*Corresponding author. Email: clin.chiahua@gmail.com
Get access Rights & Permissions [Opens in a new window]

Abstract

We show that as game theory was transferred from mathematical oncology to experimental cancer biology, a new mode of inquiry was created. Modeling was replaced by measuring. The game measured by a game assay can serve as a bridge that allows knowledge to flow backward from target (cancer research) to source (game theory). Our finding suggests that the conformist and creative (Houkes and Zwart 2019) types of transfer need to be augmented. We conclude by introducing the expansive and transformative types to get a four-tier typology of knowledge transfer.

Type
Symposia Paper
Information
Philosophy of Science , Volume 89 , Issue 5 , December 2022 , pp. 1124 - 1133
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the Philosophy of Science Association

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Basanta, David, Hatzikirou, Haralambos, and Deutsch, Andreas. 2008. “Studying the Emergence of Invasiveness in Tumours Using Game Theory.” European Physical Journal B 63 (3):393–97. https://doi.org/10.1140/epjb/e2008-00249-y.CrossRefGoogle Scholar
Bradley, Seamus, and Thébault, Karim P. Y.. 2019. “Models on the Move: Migration and Imperialism.” Studies in History and Philosophy of Science Part A 77 (December):81–92. https://doi.org/10.1016/j.shpsa.2017.11.008.CrossRefGoogle ScholarPubMed
Dawkins, Richard. 1976. The Selfish Gene. Oxford: Oxford University Press.Google Scholar
Farrokhian, Nathan, Jeff Maltas, Mina Dinh, Arda Durmaz, Patrick Ellsworth, Masahiro Hitomi, Erin McClure, Marusyk, Andriy, Kaznatcheev, Artem, and Scott, Jacob G.. 2020. “Measuring Competitive Exclusion in Non-Small Cell Lung Cancer.” BioRxiv. https://doi.org/10.1101/2020.09.18.303966.CrossRefGoogle Scholar
Herfeld, Catherine, and Doehne, Malte. 2019. “The Diffusion of Scientific Innovations: A Role Typology.” Studies in History and Philosophy of Science Part A 77 (October):64–80. https://doi.org/10.1016/j.shpsa.2017.12.001.CrossRefGoogle ScholarPubMed
Herfeld, Catherine, and Lisciandra, Chiara. 2019. “Knowledge Transfer and Its Contexts.” Studies in History and Philosophy of Science Part A 77 (October):1–10. https://doi.org/10.1016/j.shpsa.2019.06.002.CrossRefGoogle ScholarPubMed
Houkes, Wybo, and Zwart, Sjoerd D.. 2019. “Transfer and Templates in Scientific Modelling.” Studies in History and Philosophy of Science Part A 77 (October):93–100. https://doi.org/10.1016/j.shpsa.2017.11.003.CrossRefGoogle ScholarPubMed
Hummert, Sabine, Katrin Bohl, David Basanta, Andreas Deutsch, Sarah Werner, Theißen, Günter, Schroeter, Anja, and Schuster, Stefan. 2014. “Evolutionary Game Theory: Cells as Players.” Molecular BioSystems 10 (12):3044–65. https://doi.org/10.1039/c3mb70602h.CrossRefGoogle ScholarPubMed
Humphreys, Paul. 2002. “Computational Models.” Philosophy of Science 69 (S3):1–27. https://doi.org/10.1093/oxfordhb/9780199675111.013.026.CrossRefGoogle Scholar
Humphreys, Paul. 2019. “Knowledge Transfer across Scientific Disciplines.” Studies in History and Philosophy of Science Part A 77 (October):112–19. https://doi.org/10.1016/J.SHPSA.2017.11.001.CrossRefGoogle ScholarPubMed
Kaznatcheev, Artem. 2017. “Two Conceptions of Evolutionary Games: Reductive vs Effective.” BioRxiv, 231993. https://doi.org/10.1101/231993.CrossRefGoogle Scholar
Kaznatcheev, Artem. 2018. “Effective Games and the Confusion over Spatial Structure.” Proceedings of the National Academy of Sciences 115 (8):E1709.10.1073/pnas.1719031115CrossRefGoogle ScholarPubMed
Kaznatcheev, Artem, Jeffrey Peacock, David Basanta, Marusyk, Andriy, and Scott, Jacob G.. 2019. “Fibroblasts and Alectinib Switch the Evolutionary Games Played by Non-Small Cell Lung Cancer.” Nature Ecology and Evolution 3 (3):450–56. https://doi.org/10.1038/s41559-018-0768-z.CrossRefGoogle ScholarPubMed
Lin, Chia-Hua. 2022. “Knowledge Transfer, Templates, and the Spillovers.” European Journal for Philosophy of Science 12 (1):1–30.10.1007/s13194-021-00426-wCrossRefGoogle Scholar
O’Connor, Cailin. 2020. Games in the Philosophy of Biology. Cambridge: Cambridge University Press. https://doi.org/10.1017/9781108616737.CrossRefGoogle Scholar
Plutynski, Anya. 2018. Explaining Cancer: Finding Order in Disorder. Oxford: Oxford University Press.Google Scholar
Price, Justin. 2019. “The Landing Zone—Ground for Model Transfer in Chemistry.” Studies in History and Philosophy of Science Part A 77 (October):21–28. https://doi.org/10.1016/j.shpsa.2018.06.010.CrossRefGoogle ScholarPubMed
Weisberg, Michael. 2007. “Who Is a Modeler?” British Journal for the Philosophy of Science 58 (2):207–33.CrossRefGoogle Scholar
Weisberg, Michael. 2013. “Fictions and Folk Ontology.” In Simulation and Similarity: Using Models to Understand the World, 46–73. Oxford: Oxford University Press. https://doi.org/DOI:10.1093/acprof:oso/9780199933662.003.0004.CrossRefGoogle Scholar
Wölfl, Benjamin, Rietmole, Hedy te, Salvioli, Monica, Kaznatcheev, Artem, Thuijsman, Frank, Brown, Joel S., Burgering, Boudewijn, and Staňková, Kateřina. 2021. “The Contribution of Evolutionary Game Theory to Understanding and Treating Cancer.” Dynamic Games and Applications 12 (2):313–42. https://doi.org/10.1007/s13235-021-00397-w.CrossRefGoogle ScholarPubMed