Abstract
In this article I am going to reconstruct Stephen Toulmin’s procedural theory of concepts and explanations in order to develop two overlooked ideas from his philosophy of science: methods of representations and inferential techniques. I argue that these notions, when properly articulated, could be useful for shedding some light on how scientific reasoning is related to representational structures, concepts, and explanation within scientific practices. I will explore and illustrate these ideas by studying the development of the notion of instantaneous speed during the passage from Galileo’s geometrical physics to analytical mechanics. At the end, I will argue that methods of representations could be considered as constitutive of scientific inference; and I will show how these notions could connect with other similar ideas from contemporary philosophy of science like those of models and model-based reasoning.
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Notes
From a more fundamental perspective, all these theories are a reaction to the formalist view of high-level cognition promoted by the computationalist approach of Fodor and Pylyshyn. See, for example, Oaksford and Chater (1991) for an explanation of the limitation of the aforementioned approach.
The inferential role of a concept is determined by the set of inferences that the concept may allow or participate in within a certain inferential practice.
Guicciardini (2013).
Following Roux (2010, 3), we can say that Galileo’s case shows how mathematical language is not “conceptually neutral”.
It is common in the literature to talk about mathematization in Galileo, but I believe, following Blay and Panza, that there is an important difference between geometrization of motion in the tradition of Galileo–Descartes–Newton and the kind of mathematization in the development of analytical mechanics (see Panza 2002; Blay 1992).
Toulmin’s ideas on representation, specially those developed in his 1972 book, are also a clear antecedent of Suarez’s inferential view of scientific representation (Suárez 2004). However, discussing this particular relation exceeds the scope of this article.
Against what he calls an “instantial view”, which understands models as instantiations of the axioms and mathematical structures of theories and focuses on the problem of truth and reference in the relationship between models and target phenomena.
See Magnani (2001, Ch. 3).
In this sense, inferential techniques are close to Hacking’s notion of “style of reasoning” (see Hacking 1994).
References
Blay, M. (1992). La naissance de la mécanique analytique. Paris: Presses Universitaires de France.
Blay, M. (1999). Reasoning with the infinite. Chicago: University of Chicago Press.
Clagett, M., & Oresme, N. (1968). Nicole Oresme and the medieval geometry of qualities and motions. Madison: University of Wisconsin.
Clark, A. (2006). Language, embodiment, and the cognitive niche. Trends in Cognitive Sciences, 10(8), 370–374.
Clark, A., & Chalmers, D. J. (1998). The extended mind. Analysis, 58(1), 7–19.
Clavelin, M. (1968). La philosophie naturelle de Galilée. Paris: Armand Colin.
Ducheyne, S. (2008). Galileo and Huygens on free fall: Mathematical and methodological differences. Dynamis, 28, 243–274.
Galilei, G. (1954). Dialogues concerning two new sciences (H. Crew & A. de Salvio, Trans.). New York: Dover Publications.
Giere, R. N. (1999). Using models to represent reality. In L. Magnani, N. Nersessian, & P. Thagard (Eds.), Model-based reasoning in scientific discovery (pp. 41–57). New York: Springer.
Giere, R. (2004). How models are used to represent reality. Philosophy of Science, 71(5), 742–752.
Giere, R. (2006). Scientific perspectivism. Chicago: University of Chicago Press.
Giusti, E. (1994). Il Filosofo Geometra. Matematica e Filosofia Naturale in Galileo. Nuncius, 9(2), 485–498.
Guicciardini, N. (2013). Mathematics and the new sciences. In J. Z. Buchwald & R. Fox (Eds.), The Oxford handbook of the history of physics (pp. 226–264). Oxford: Oxford University Press.
Hacking, I. (1994). Styles of scientific thinking or reasoning: A new analytical tool for historians and philosophers of the sciences. In J. Misiek (Ed.), The problem of rationality in science and its philosophy (Vol. 151, pp. 31–48). Dordrecht: Springer.
Harman, G. (1986). Change in view. Cambridge, MA: MIT Press.
Henle, M. (1962). On the relation between logic and thinking. Psychological Review, 69(4), 366–378.
Hutchins, E. (2010). Cognitive ecology. Topics in Cognitive Sciences, 2(4), 705–715.
Magnani, L. (2001). Abduction, reason and science. New York: Springer.
Magnani, L. (2002). Epistemic mediators and model-based discovery in science. In L. Magnani & N. J. Nersessian (Eds.), Model-based reasoning: Science, technology, values (pp. 305–329). Dordrecht: Kluwer.
Magnani, L. (2004). Reasoning through doing. Epistemic mediators in scientific discovery. Journal of Applied Logic, 2(4), 439–450.
Mercier, H., & Sperber, D. (2017). The enigma of reason. Cambridge, MA: Harvard University Press.
Morrison, M., & Morgan, M. (1999). Models as mediating instruments. In M. S. Morgan & M. Morrison (Eds.), Models as mediators. Perspectives on natural and social science. Cambridge: Cambridge University Press.
Nersessian, N. (1999). Model-based reasoning in conceptual change. In L. Magnani, N. J. Nersessian, & P. Thagard (Eds.), Model-based reasoning in scientific discovery. Berlin: Springer.
Nersessian, N. (2010). Creating scientific concepts. New York: MIT Press.
Newton, I. (1999). The principia: Mathematical principles of natural philosophy (I. B. Cohen & A. M. Whitman, Trans.). New York: University of California Press.
Oaksford, M., & Chater, N. (1991). Against logicist cognitive science. Mind and Language, 6(1), 1–38.
Palmerino, C. R. (2010). The geometrization of motion: Galileo’s triangle of speed and its various transformations. Early Science and Medicine, 15(4–5), 410–447.
Palmieri, P. (2003). Mental models in Galileo’s early mathematization of nature. Studies in History and Philosophy of Science Part A, 34(2), 229–264.
Panza, M. (2002). Mathematisation of the science of motion and the birth of analytical mechanics: A historiographical note. In P. Cerrai, P. Freguglia, & C. Pellegrini (Eds.), The application of mathematics to the sciences of nature. Berlin: Springer.
Roux, S. (2010). Forms of mathematization (14th–17th centuries). Early Science and Medicine, 15(4–5), 319–337.
Ruphy, S. (2011). From Hacking’s plurality of styles of scientific reasoning to “foliated” pluralism. Philosophy of Science, 78(5), 1212–1222.
Schemmel, M. (2008). The English Galileo. Berlin: Springer.
Sellés, M. A. (2006). Infinitesimals in the foundations of Newton’s mechanics. Historia Mathematica, 33(2), 210–223.
Suárez, M. (2004). An inferential conception of scientific representation. Philosophy of Science, 71(5), 767–779.
Thagard, P. (1992). Conceptual revolutions. Princeton: Princeton University Press.
Toulmin, S. (1953). An introduction to philosophy of science. London: Hutchinson University Press.
Toulmin, S. (1961). Foresight and understanding. London: Hutchinson & CO.
Toulmin, S. (1970). From logical systems to conceptual populations. In R. C. Buck & R. S. Cohen (Eds.), PSA 1970. Boston Studies in the Philosophy of Science (Vol. 8, pp. 552–564). Dordrecht: Springer.
Toulmin, S. (1972a). Human understanding. Oxford: Clarendon Press.
Toulmin, S. (1972b). Rationality and scientific discovery. PSA: Proceedings of the Biennial meeting of the philosophy of science association, 1972, 387–406.
Toulmin, S. (1974). Scientific strategies and historical change. In R. J. Seeger & R. S. Cohen (Eds.), Philosophical foundations of science (pp. 401–414). Berlin: Springer.
Wartofsky, M. W. (1987). Epistemology historicized. In A. Shimony & D. Nails (Eds.), Naturalistic epistemology (Vol. 100, pp. 357–374). Berlin: Springer.
Acknowledgements
I would like to thank Max Kistler and two anonymous reviewers for comments on an earlier draft of this paper.
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The funding was provided by ANII (Agencia Nacional de Investigación e Innovación), Uruguay.
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Osta Vélez, M. Methods of Representation as Inferential Devices. J Gen Philos Sci 50, 231–245 (2019). https://doi.org/10.1007/s10838-019-09449-7
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DOI: https://doi.org/10.1007/s10838-019-09449-7