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Robustness: Material, and Inferential, in the Natural and Human Sciences

  • William C. WimsattEmail author
Chapter
Part of the Boston Studies in the Philosophy of Science book series (BSPS, volume 292)

Abstract

I review the scientific situation with the emergence of population biology that led Richard Levins to introduce the idea of looking for robust theorems, and the influences that lead Donald Campbell to introduce “triangulation”. My review tied these two notions together, and looked for other convergent methodologies that showed some of the same characteristics I baptized as “robustness analysis”. I review the main types, and then turn to a further characterization of material robustness, which has become the primary focus of studies in biology and elsewhere in the last decade. I discuss one key source of this robustness—sexual recombination—and then close with some remarks on robustness, complexity, fragility, and generative entrenchment.

Keywords

Population Biology Robustness Analysis Sexual Recombination Robust Inference Weak Neutral Current 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgement

I wish to thank Lena Soler for her imaginative conception of a conference on robustness, for inviting me, and for the productivity of her resulting vision and Tom Nickles for continuing productive interactions over many years.

References

  1. Beurton, P., R. Falk, and H. Rheinberger, eds. 2000. The Concept of the Gene in Development and Evolution: Historical and Epistemological Perspectives. Cambridge Studies in Philosophy and Biology. Cambridge: Cambridge University Press.Google Scholar
  2. Boue, J., A. Boue, and P. Lazar. 1975. “The Epidemiology of Human Spontaneous Abortions with Chromosomal Abnormalities.” In Aging Gametes. International Symposium, Seattle, edited by R.J. Blandau, 330–48. Basel: Karger.Google Scholar
  3. Burian, R.M., and Jean Gayon. 1991. “Un Evolutionniste Bernardien à l’Institut Pasteur? Morphologie des Ciliés et Evolution Physiologique Dans l’œuvres d’André Lwoff. ” In L’Institut Pasteur: Contribution à Son Histoire, edited by M. Morange, 165–86. Paris: Editions la Découverte.Google Scholar
  4. Calcott, B. 2010. “Wimsatt and the Robustness Family: Review of Wimsatt’s Re-engineering Philosophy for Limited Beings.” Biology and Philosophy, preprints (2-10-2010).Google Scholar
  5. Campbell, D.T. 1966. “Pattern-Matching as an Essential in Distal Knowing.” In The Psychology of Egon Brunswik, edited by K.R. Hammond. New York: Holt, Rinehart, and Winston.Google Scholar
  6. Campbell, D.T., and D.W. Fiske. 1959. “Convergent and Discriminant Validation by the Multitrait-Multimethod Matrix.” Psychological Bulletin 56:81–105.CrossRefGoogle Scholar
  7. Corfield, D. 2010. “Understanding the Infinite I: Niceness, Robustness, and Realism.” Philosophia Mathematica (III) 18:253–75.CrossRefGoogle Scholar
  8. Culp, S. 1994. “Defending Robustness: The Bacterial Mesosome as a Test Case.” In PSA 1994, vol. 1, edited by D. Hull, M. Forbes, and R.M. Burian, 46–57. East Lansing, MI: Philosophy of Science Association.Google Scholar
  9. Culp, S. 1995. “Objectivity in Experimental Inquiry: Breaking Data-Technique Circles.” Philosophy of Science 62:438–58.CrossRefGoogle Scholar
  10. Downes, S. 1992. “The Importance of Models in Theorizing: A Deflationary Semantic View.” In PSA-1992, vol. 1, edited by D. Hull, M. Forbes, and M. Okhrulik, 142–53. East Lansing, MI: The Philosophy of Science Association.Google Scholar
  11. Doyle, John, et al. 2005. “Robustness and the Internet: Theoretical Foundations.” In Robust Design: A Repertoire of Biological, Ecological, and Engineering Case Studies (Santa Fe Institute Studies in the Sciences of Complexity), edited by Erica Jen, 273–85. Oxford: Oxford University Press.Google Scholar
  12. Feynman, R.P. 1967. The Character of Physical Law. Ithaca, NY: Cornell University Press.Google Scholar
  13. Glymour, C. 1980. Theory and Evidence. Princeton, NJ: Princeton University Press.Google Scholar
  14. Grant, P. 1999. The Ecology and Evolution of Darwin’s Finches, rev. ed. Princeton, NJ: Princeton University press.Google Scholar
  15. Hudson, Robert G. 1999. “Mesosomes: A Study in the Nature of Experimental Reasoning.” Philosophy of Science 66:289–309.CrossRefGoogle Scholar
  16. Kaufmann, S.A. 1969. “Metabolic Stability and Epigenesis in Random Constructed Genetic Networks.” Journal for Theoretical Biology 22:437–67.CrossRefGoogle Scholar
  17. Levins, R. 1966. “The Strategy of Model-Building in Population Biology.” American Scientist 54:421–31.Google Scholar
  18. Levins, R. 1968. Evolution in Changing Environments. Princeton, NJ: Princeton University Press.Google Scholar
  19. Levins, R. 1974. “The Qualitative Analysis of Partially Specified Systems.” Annals of the New York Academy of Sciences 231:123–38.CrossRefGoogle Scholar
  20. Lewontin, R. 1963. “Models, Mathematics, and Metaphors.” Synthese 15(1):222–44.CrossRefGoogle Scholar
  21. Lewontin, R. 1978. “Adaptation.” Scientific American 239(3):157–69.CrossRefGoogle Scholar
  22. Livnat, A., C. Papadimitriou, J. Dushoff, and M. Feldman. 2008. “A Mixability Theory for the Role of Sex in Evolution.” PNAS 105(50):19803–8.CrossRefGoogle Scholar
  23. Morange, Michel. 1998. A History of Molecular Biology. Cambridge, MA: Harvard University Press (English translation of Histoire de Biologie Muleculaire, 1994. Paris: Editions la Découverte.)Google Scholar
  24. Odenbaugh, Jay. 2006. “The Strategy of ‘the Strategy of Model Building in Population Biology’.” Biology and Philosophy 21:607–21.CrossRefGoogle Scholar
  25. Raerinne, J. 2010. “Generalizations and Models in Ecology: Lawlikeness, Invariance, Stability, and Robustness.” PhD diss., University of Helsinki, Finland.Google Scholar
  26. Rasmussen, N. 1993. “Facts, Artifacts, and Mesosomes: Practicing Epistemology with the Electron Microscope.” Studies in History and Philosophy of Science Part A 24(2):227–65.CrossRefGoogle Scholar
  27. Rosenblatt, F. 1958. Principles of Neurodynamics. Washington, DC: Spartan Books.Google Scholar
  28. Stegenga, J. 2009. “Robustness, Discordance, and Relevance.” Philosophy of Science 76(5):650–6621.Google Scholar
  29. Trout, J.D. 1998. Measuring the Intentional World: Realism, Naturalism, and Quantitative Methods in the Behavioral Sciences. New York: Oxford University Press.Google Scholar
  30. Van Valen, L. 1989. “Three Paradigms of Evolution.” Evolutionary Theory 9:1–17 (July).Google Scholar
  31. Wade, M.J. 1978. “A Critical Review of the Models of Group Selection.” Quarterly Review of Biology 53(2):101–14.CrossRefGoogle Scholar
  32. Wagner, A. 2005. Robustness and Evolvability in Living Systems. Princeton, NJ: Princeton University Press.Google Scholar
  33. Waters, K. 2008. “How Practical Know-How Contextualizes Theoretical Knowledge: Exporting Causal Knowledge from Laboratory to Nature.” Philosophy of Science 75:707–19.CrossRefGoogle Scholar
  34. Weisberg, M. 2006. “Robustness Analysis.” Philosophy of Science 73:730–42.CrossRefGoogle Scholar
  35. Weisberg, M., and K. Reisman. 2008. “The Robust Volterra Principle.” Philosophy of Science 75:106–31.CrossRefGoogle Scholar
  36. Willinger, Walter, and John Doyle. 2005. “Robustness and the Internet: Design and Evolution.” In Robust Design: A Repertoire of Biological, Ecological, and Engineering Case Studies (Santa Fe Institute Studies in the Sciences of Complexity), edited by Erica Jen, 231–71. Oxford: Oxford University Press.Google Scholar
  37. Wilson, E.O., and W. Bossert. 1971. A Primer of Population Biology. Stamford, CT: A. Sinauer.Google Scholar
  38. Wimsatt, W.C. 1976. “Reductionism, Levels of Organization and the Mind-Body Problem.” In Consciousness and the Brain, edited by G. Globus, I. Savodnik, and G. Maxwell, 199–267. New York: Plenum.Google Scholar
  39. Wimsatt, W.C. 1980a. “Randomness and Perceived-Randomness in Evolutionary Biology.” Synthese 43:287–329.CrossRefGoogle Scholar
  40. Wimsatt, W.C. 1980b. “Reductionistic Research Strategies and Their Biases in the Units of Selection Controversy.” In Scientific Discovery-Vol. II: Case Studies, edited by T. Nickles, 213–59. Dordrecht: Reidel.CrossRefGoogle Scholar
  41. Wimsatt, W.C. 1981a. “Robustness. Reliability and Overdetermination.” In Scientific Inquiry and the Social Sciences, edited by M. Brewer and B. Collins, 124–63. San Francisco, CA: Jossey-Bass Publishers.Google Scholar
  42. Wimsatt, W.C. 1981b. “Units of Selection and the Structure of the Multi-Level Genome.” In PSA-1980, vol. 2, edited by P.D. Asquith and R.N. Giere, 122–83. Lansing, MI: The Philosophy of Science Association.Google Scholar
  43. Wimsatt, W.C. 1987. “False Models as Means to Truer Theories.” In Neutral Models in Biology, edited by M. Nitecki and A. Hoffman, 23–55. London: Oxford University Press.Google Scholar
  44. Wimsatt, W.C. 1991. “Taming the Dimensions–Visualizations in Science.” In PSA-1990, vol. 2, edited by M. Forbes, L. Wessels, and A. Fine, 111–35. East Lansing, MI: The Philosophy of Science Association.Google Scholar
  45. Wimsatt, W.C. 1992. “Golden Generalities and Co-opted Anomalies: Haldane vs. Muller and the Drosophila Group on the Theory and Practice of Linkage Mapping.” In The Founders of Evolutionary Genetics, edited by S. Sarkar, 107–66. Dordrecht: Martinus-Nijhoff.CrossRefGoogle Scholar
  46. Wimsatt, W.C. 1994. “The Ontology of Complex Systems: Levels, Perspectives and Causal Thickets.” Canadian Journal of Philosophy supplementary volume #20, edited by Robert Ware and Mohan Matthen, 207–74 (reprinted as Chapter 10 of my 2007b.)Google Scholar
  47. Wimsatt, W.C. 2001. “Generative Entrenchment and the Developmental Systems Approach to Evolutionary Processes.” In Cycles of Contingency: Developmental Systems and Evolution, edited by S. Oyama, R. Gray, and P. Griffiths, 219–37. Cambridge: MIT Press.Google Scholar
  48. Wimsatt, W.C. 2006. “Reductionism and its Heuristics: Making Methodological Reductionism Honest.” Synthese 151:445–75.CrossRefGoogle Scholar
  49. Wimsatt, W.C. 2007a. “On Building Reliable Pictures with Unreliable Data: An Evolutionary and Developmental Coda for the New Systems Biology.” In Systems Biology: Philosophical Foundations, edited by F.C. Boogerd, F.J. Bruggeman, J.-H.S. Hofmeyer, and H.V. Westerhoff, 103–20. Amsterdam: Reed-Elsevier.Google Scholar
  50. Wimsatt, W.C. 2007b. Re-engineering Philosophy for Limited Beings: Piecewise Approximations to Reality. Cambridge: Harvard University Press.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  1. 1.Department of Philosophy and Conceptual and Historical Studies of ScienceThe University of ChicagoChicagoUSA
  2. 2.Center for Philosophy of ScienceUniversity of MinnesotaSt. PaulUSA

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