Abstract
Science continually contributes new models and rethinks old ones. The way inferences are made is constantly being re-evaluated. The practice and achievements of science are both shaped by this process, so it is important to understand how models and inferences are made. But, despite the relevance of models and inference in scientific practice, these concepts still remain controversial in many respects. The attempt to understand the ways models and inferences are made basically opens two roads. The first one is to produce an analysis of the role that models and inferences play in science. The second one is to produce an analysis of the way models and inferences are constructed, especially in the light of what science tells us about our cognitive abilities. The papers collected in this volume go both ways.
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Notes
- 1.
Frigg and Hartmann (2012), § 1.
References
Aliseda, A.: Abductive Reasoning. Springer, Dordrecht (2006)
Bailer-Jones, D.M.: Scientific Models in Philosophy of Science. University of Pittsburgh Press, Pittsburgh (2009)
Cellucci, C.: Rethinking Logic. Logic in Relation to Mathematics, Evolution, and Method. Springer, Dordrecht (2013)
da Costa, N.C.A., French, S.: Science and Partial Truth. A Unitary Approach to Models and Scientific Reasoning. Oxford University Press, Oxford (2003)
Dawid, R., Hartmann, S., Sprenger, J.: The no alternatives argument. Br. J. Philos. Sci. 66, 213–234 (2015)
Dutilh Novaes, C.: Formal Languages in Logic. A Philosophical and Cognitive Analysis. Cambridge University Press, Cambridge (2012)
French, S.: A model-theoretic account of representation (or, I don’t know much about art… but I know it involves isomorphism). Philos. Sci. 70, 1472–1483 (2003)
French, S.: The Structure of the World. Metaphysics and Representation. Oxford University Press, Oxford (2014)
Frigg, R., Hartmann, S.: Models in science. In: Zalta, E.N. (ed.) The Stanford Encyclopedia of Philosophy (Fall 2012 Edition), http://plato.stanford.edu/archives/fall2012/entries/models-science/ (2012)
Halvorson, H.: What scientific theories could not be. Philos. Sci. 79, 183–206 (2012)
Humphreys, P., Imbert, C. (eds.): Models, Simulations, and Representations. Routledge, New York (2012)
Ippoliti, E. (ed.): Heuristic Reasoning. Springer, Cham (2014)
Krause, D., Bueno, O.: Scientific theories, models, and the semantic approach. Principia 11, 187–201 (2007)
Lipton, P.: Inference to the Best Explanation. Routledge, London (2004)
Magnani, L.: Abductive Cognition. The Epistemological and Eco-Cognitive Dimensions of Hypothetical Reasoning. Springer, Berlin (2009)
Meheus, J., Nickles, T. (eds.): Models of Discovery and Creativity. Springer, Dordrecht (2009)
Morgan, M.S., Morrison, M. (eds.): Models as Mediators. Perspectives on Natural and Social Science. Cambridge University Press, Cambridge (1999)
Morrison, M.: Fictions, representations, and reality. In: Suárez, M. (ed.) Fictions in Science. Philosophical Essays on Modeling and Idealization, pp. 110–135. Routledge, New York (2009)
Pelletier, F.J., Elio, R., Hanson, P.: Is logic all in our heads? From naturalism to psychologism. Stud. Logica. 88, 3–66 (2008)
Prawitz, D.: The status of mathematical knowledge. In: Ippoliti, E., Cozzo, C. (eds.) From a Heuristic Point of View. Essays in Honour of Carlo Cellucci, pp. 73–90. Cambridge Scholars Publishing, Newcastle upon Tyne (2014)
Schechter, J.: Could evolution explain our reliability about logic? In: Gendler, T.S., Hawthorne, J. (eds.) Oxford Studies in Epistemology, vol. 4, pp. 214–239. Oxford University Press, Oxford (2013)
Suarez, M. (ed.): Fictions in Science. Philosophical Essays on Modeling and Idealization. Routledge, New York (2009)
Suppe, F.: Understanding scientific theories: an assessment of developments, 1969–1998. Philos. Sci. 67, S102–S115 (2000)
Suppes, P.: A comparison of the meaning and use of models in mathematics and the empirical sciences. In: Freudenthal, J. (ed.) The Concept and the Role of the Model in Mathematics and Natural and Social Sciences, pp. 163–177. Reidel, Dordrecht (1961)
Thomson-Jones, M.: Models and the semantic view. Philos. Sci. 73, 524–535 (2006)
Wigner, E.: The unreasonable effectiveness of mathematics in the natural sciences. Commun. Pure Appl. Math. 13, 1–14 (1960)
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Ippoliti, E., Nickles, T., Sterpetti, F. (2016). Modeling and Inferring in Science. In: Ippoliti, E., Sterpetti, F., Nickles, T. (eds) Models and Inferences in Science. Studies in Applied Philosophy, Epistemology and Rational Ethics, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-319-28163-6_1
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