Commented Bibliography on Models and Idealizations

  • Chapter
  • First Online:
Models and Idealizations in Science

Part of the book series: Logic, Epistemology, and the Unity of Science ((LEUS,volume 50))

  • 472 Accesses

Abstract

This chapter provides a classified and commented bibliography of printed books on the philosophy of scientific modeling and related issues, such as representation, idealization, computer simulation, and others. It is intended as a guide for further readings concerning the main topics of the preceding chapters.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 93.08
Price includes VAT (Germany)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
EUR 117.69
Price includes VAT (Germany)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book
EUR 117.69
Price includes VAT (Germany)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  • Achinstein, P. (1968). Concepts of science: A philosophical analysis. Baltimore and London: The John Hopkins University Press.

    Google Scholar 

  • Appiah, K. A. (2017). As if: Idealizations and ideals. Cambridge MA: Harvard University Press.

    Book  Google Scholar 

  • Armour-Garb, B., & Woodbridge, J. (2015). Pretence and pathology: Fictionalism and its applications. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Armour-Garb, B., & Kroon, F. (Eds.). (2020). Fictionalism in philosophy. New York: Oxford University Press.

    Google Scholar 

  • Aronson, J., Harré, R., & Way, E. (1995). Realism rescued: How scientific progress is possible. Chicago: Open Court.

    Google Scholar 

  • Bailer-Jones, D. (2009). Scientific models in philosophy of science. Pittsburgh: University of Pittsburgh Press.

    Book  Google Scholar 

  • Balzer, W., Moulines, C. U., & Sneed, J. (1987). An architectonic for science: The structuralist program. Dordrecht: Reidel.

    Book  Google Scholar 

  • Bartha, P. (2010). By parallel reasoning: The construction and evaluation of analogical arguments. New York: Oxford University Press.

    Book  Google Scholar 

  • Batterman, R. (2002). The devil in the details: Asymptotic reasoning in explanation, reduction, and emergence. Oxford: Oxford University Press.

    Google Scholar 

  • Beisbart, C., & Saam, N. (Eds.). (2019). Computer simulation validation: Fundamental concepts, methodological frameworks, and philosophical perspectives. Cham: Springer.

    Google Scholar 

  • Beni, M. D. (2019). Cognitive structural realism: A radical solution to the problem of scientific representation. Cham: Springer.

    Book  Google Scholar 

  • Black, M. (1962). Models and metaphors. Ithaca, NY: Cornell University Press.

    Book  Google Scholar 

  • Bokulich, A., & Bokulich, P. (Eds.). (2011). Scientific structuralism. Drordrecht: Springer.

    Google Scholar 

  • Boniolo, G. (2007). On scientific representations: From Kant to a new philosophy of science. New York: Palgrave Macmillan.

    Book  Google Scholar 

  • Borbone, G., & Brzechczyn, K. (Eds.). (2016). Idealization XIV: Models in science. Boston: Brill-Rodopi.

    Google Scholar 

  • Boumans, M. (2005). How economists model the world into numbers. London and New York: Routledge.

    Google Scholar 

  • Braithwaite, R. (1953). Scientific explanation: A study of the function of theory, probability, and law in science. Cambridge: Cambridge University Press.

    Google Scholar 

  • Bueno, O., & French, S. (2018). Applying mathematics: Immersion, inference, interpretation. New York: Oxford University Press.

    Book  Google Scholar 

  • Bunge, M. (1973). Method, model, and matter. Dordrecht: Reidel.

    Book  Google Scholar 

  • Campbell, N. (1920). Physics: The elements. Cambridge: Cambridge University Press.

    Google Scholar 

  • Cartwright, N. (1989). Nature’s capacities and their measurement. Oxford: Oxford University Press.

    Google Scholar 

  • Cartwright, N. (1999). The dappled world: A study of the boundaries of science. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Copmans, C., Vertesi, J., Lynch, M., & Woolgar, S. (Eds.). (2014). Representation in scientific practice revisited. Cambridge, MA: The MIT Press.

    Google Scholar 

  • Da Costa, N. & French, S. (2003). Science and partial truth: A unitary approach to models and scientific reasoning. New York: Oxford University Press.

    Google Scholar 

  • De Charadevian, S., & Hopwood, N. (Eds.). (2004). Models: The third dimension of science. Stanford: Stanford University Press.

    Google Scholar 

  • Downes, S. (2021). Models and modeling in the sciences: A philosophical introduction. London and New York: Routledge.

    Google Scholar 

  • Duhem, P. (1906). La théorie physique. Son objet et sa structure. Paris: Chevalier et Rivière. [Second edition: 1914]. [English translation from the 1914 second French edition: The aim and structure of physical theory. Princeton: Princeton University Press, 1954].

    Google Scholar 

  • Durán, J. M. (2018). Computer simulations in science and engineering: Concepts-practices-perspectives. Cham: Springer.

    Book  Google Scholar 

  • Falguera, J. L., & Martínez-Vidal, C. (Eds.). (2020). Abstract objects: For and against. Cham: Springer.

    Google Scholar 

  • Fox Keller, E. (2002). Making sense of life: Explaining biological development with models, metaphors, and machines. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • French, S. (2014). The structure of the world: Metaphysics and representation. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Freudenthal, H. (Ed.). (1961). The concept and the role of the models in mathematics and natural and social sciences. Dordrecht: Reidel.

    Google Scholar 

  • Frigg, R., & Hunter, M. (Eds.). (2010). Beyond mimesis and convention: Representation in art and science. Dordrecht: Springer.

    Google Scholar 

  • Frigg, R., & Nguyen, J. (2020). Modelling nature: An opinionated introduction to scientific representation. Cham: Springer.

    Book  Google Scholar 

  • Galison, P. (1997). Image and logic: A material culture of microphysics. Chicago and London: The University of Chicago Press.

    Google Scholar 

  • García-Carpintero, M. (2016). Relatar lo ocurrido como invención. Una introducción a la filosofía de la ficción contemporánea. Madrid: Cátedra.

    Google Scholar 

  • Gelfert, A. (2016). How to do science with models: A philosophical primer. Cham: Springer.

    Book  Google Scholar 

  • Gerlee, P., & Lundh, T. (2016). Scientific models: Red atoms, white lies, and black boxes in a yellow book. Cham: Springer.

    Book  Google Scholar 

  • Giere, R. (1988). Explaining science: A cognitive approach. Chicago and London: The University of Chicago Press.

    Book  Google Scholar 

  • Giere, R. (1997). Understanding scientific reasoning. Fourth edition. Sea Harbour Drive, FL: Harcourt Brace College Publishers. [First edition: 1979].

    Google Scholar 

  • Giere, R. (1999). Science without laws. Chicago and London: The University of Chicago Press.

    Google Scholar 

  • Giere, R. (2006). Scientific perspectivism. Chicago and London: The University of Chicago Press.

    Book  Google Scholar 

  • Goodman, N. (1968). Languages of art: An approach to a theory of symbols. Indianapolis: The Bobbs-Merrill Company. [Second edition: Indianapolis: Hackett Publishing Company, 1976].

    Google Scholar 

  • Hacking, I. (1983). Representing and intervening: Introductory topics in the philosophy of natural science. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Hallyn, F. (Ed.). (2000). Metaphor and analogy in the sciences. Dordrecht: Kluwer Academic Publishers.

    Google Scholar 

  • Harré, R. (1960). An Introduction to the logic of the sciences. London: The Macmillan Press. [Second Edition: 1983].

    Google Scholar 

  • Harré, R. (2004). Modeling: Gateway to the unknown. Amsterdam: Elsevier.

    Google Scholar 

  • Hartmann, S., Hoefer, C., & Bovens, L. (Eds.). (2008). Nancy Cartwright´s philosophy of science. New York: Routledge.

    Google Scholar 

  • Healey, R. (2017). The quantum revolution in philosophy. New York: Oxford University Press.

    Book  Google Scholar 

  • Hempel, C. G. (1965). Aspects of scientific explanation and other essays in the philosophy of science. New York: The Free Press.

    Google Scholar 

  • Herfel, W., Krajewski, W., Niiniluoto, I., & Wojcicki, R. (Eds.). (1995). Theories and models in scientific processes. Amsterdam: Rodopi.

    Google Scholar 

  • Hesse, M. (1954). Science and the human imagination. London: SCM Press.

    Google Scholar 

  • Hesse, M. (1961). Forces and fields: The concept of action at a distance in the history of physics. London: T. Nelson. [Reprinted in: New York: Dover, 2005].

    Google Scholar 

  • Hesse, M. (1963). Models and analogies in science. London: Sheed and Ward. [Revised edition: Notre Dame: Notre Dame University Press, 1966.]

    Google Scholar 

  • Hughes, R. I. G. (1989). The structure and interpretation of quantum mechanics. Cambridge, MA: The MIT Press.

    Google Scholar 

  • Hughes, R. I. G. (2010). The theoretical practices of physics: Philosophical essays. New York: Oxford University Press.

    Google Scholar 

  • Humphreys, P. (2004). Extending ourselves: Computational science, empiricism, and scientific method. New York: Oxford University Press.

    Book  Google Scholar 

  • Humphreys, P., & Imbert, C. (Eds.). (2012). Models, simulations, and representations. New York: Routledge.

    Google Scholar 

  • Ippoliti, E., Sterpetti, F., & Nickles, T. (Eds.). (2016). Models and inferences in science. Cham: Springer.

    Google Scholar 

  • Klein, U. (2002). Experiments, models, paper tools: Cultures of organic chemistry in the nineteenth century. Stanford: Stanford University Press.

    Google Scholar 

  • Krause, D., & Arenhart, J. (2017). The logical foundations of scientific theories: Languages, structures, and models. New York and London: Routledge.

    Google Scholar 

  • Kroon, F., Brock, S., & Mckeown-Green, J. (2019). A critical introduction to fictionalism. London: Bloomsbury Academic.

    Google Scholar 

  • Leatherdale, W. H. (1974). The role of analogy, model, and metaphor in science. Amsterdam: North-Holland.

    Google Scholar 

  • Lenhard, J. (2019). Calculated surprises: A philosophy of computer simulation. New York: Oxford University Press.

    Book  Google Scholar 

  • Lenhard, J., & Carrier, M. (Eds.). (2017). Mathematics as a tool: Tracing new roles of mathematics in the sciences. Cham: Springer.

    Google Scholar 

  • Lenhard, J. K., & Gunther and Shinn, Terry. (Eds.). (2006). Simulation: Pragmatic construction of reality. Dordrecht: Springer.

    Google Scholar 

  • Levy, A., & Godfrey-Smith, P. (Eds.). (2020). The scientific imagination: Philosophical and psychological perspectives. New York: Oxford University Press.

    Google Scholar 

  • Lloyd, E. (1994). The structure and confirmation of evolutionary theory. Second edition. Princeton: Princeton University Press. [First edition: 1988].

    Google Scholar 

  • Lynch, M., & Woolgar, S. (Eds.). (1990). Representation in scientific practice. Cambridge, MA: The MIT Press [First Edition: Dordrecht: Reidel, 1988].

    Google Scholar 

  • Magnani, L. (Ed.). (2014). Model-based reasoning in science and technology: Theoretical and cognitive issues. Berlin: Springer.

    Google Scholar 

  • Magnani, L., & Bertolotti, T. (Eds.). (2017). Springer handbook of model-based science. Cham: Springer.

    Google Scholar 

  • Magnani, L., Nersessian, N., & Thagard, P. (Eds.). (1999). Model-based reasoning in scientific discovery. New York: Plenum Publishers.

    Google Scholar 

  • Magnani, L., & Nersessian, N. (Eds.). (2002). Model-based reasoning: Science, technology, values. New York: Kluwer Academic Publishers.

    Google Scholar 

  • Mayo, D. (1996). Error and the growth of experimental knowledge. Chicago and London: The University of Chicago Press.

    Book  Google Scholar 

  • McGuiness, B. (Ed.). (1974). Ludwig Boltzmann: Theoretical physics and philosophical problems. Selected writings. Dordrecht: Reidel.

    Google Scholar 

  • Morgan, M. (2012). The world in the model: How economists work and think. New York: Cambridge University Press.

    Book  Google Scholar 

  • Morgan, M., & Morrison, M. (Eds.). (1999). Models as mediators: Perspectives on natural and social science. New York: Cambridge University Press.

    Google Scholar 

  • Morrison, M. (2015). Reconstructing reality: Models, mathematics, and simulations. New York: Oxford University Press.

    Book  Google Scholar 

  • Nagel, E. (1961). The structure of science: Problems in the logic of scientific explanation. New York: Harcourt, Brace & World [Second edition: Indianapolis: Hackett, 1979].

    Google Scholar 

  • Nersessian, N. (2008). Creating scientific concepts. Cambridge, MA: The MIT Press.

    Book  Google Scholar 

  • Niiniluoto, I. (1999). Critical scientific realism. New York: Oxford University Press.

    Google Scholar 

  • Nowak, L. (1979). The structure of idealization: Towards a systematic interpretation of the marxian idea of science. Dordrecht: Reidel.

    Google Scholar 

  • Novakowa, I., & Nowak, L. (Eds.). (2000). Idealization X: The richness of idealization. Amsterdam: Rodopi.

    Google Scholar 

  • Oberkampf, W., & Roy, C. (2010). Verification and validation in scientific computing. New York: Cambridge University Press.

    Book  Google Scholar 

  • Ortony, A. (Ed.). (1993). Metaphor and thought. Second edition. Cambridge: Cambridge University Press [First edition: 1979].

    Google Scholar 

  • Pincock, C. (2012). Mathematics and scientific representation. New York: Oxford University Press.

    Book  Google Scholar 

  • Potochnik, A. (2017). Idealization and the aims of science. Chicago: The University of Chicago Press.

    Book  Google Scholar 

  • Radder, H. (Ed.). (2003). The philosophy of scientific experimentation. Pittsburgh: The University of Pittsburgh Press.

    Google Scholar 

  • Resch, M., Kaminski, A., & Gehring, P. (Eds.). (2017). The science and art of simulations I: Exploring - understanding - knowing. Cham: Springer.

    Google Scholar 

  • Rowbottom, D. (2019). The instrument of science: Scientific anti-realism revitalised. New York: Routledge.

    Book  Google Scholar 

  • Sainsbury, M. (2010). Fictions and fictionalism. London: Routledge.

    Google Scholar 

  • Shanks, N. (Ed.). (1998). Idealization XII: Idealization in contemporary physics. Amsterdam: Rodopi.

    Google Scholar 

  • Sklar, L. (2000). Theory and truth: Philosophical critique within foundational science. New York: Oxford University Press.

    Google Scholar 

  • Sneed, J. (1971). The logical structure of mathematical physics. Dordrecht: Reidel.

    Book  Google Scholar 

  • Sprenger, J., & Hartmann, S. (2019). Bayesian philosophy of science: Variations on a theme by the reverend Thomas Bayes. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Stegmüller, W. (1973). Theorienstrukturen und Theoriendynamik. Berlin: Springer. [English translation: The structure and dynamics of theories. Berlin: Springer, 1976].

    Google Scholar 

  • Sterrett, S. (2006). Wittgenstein flies a kit: A story of models of wings and models of the world. New York: Pi Press.

    Google Scholar 

  • Strevens, M. (2008). Depth: An account of scientific explanation. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Suárez, M. (Ed.). (2009). Fictions in science: Philosophical essays on modeling and idealization. New York: Routledge.

    Google Scholar 

  • Suppe, F. (Ed.). (1977). The structure of scientific theories. Second edition. Urbana and Chicago: University of Illinois Press. [First edition: 1974].

    Google Scholar 

  • Suppe, F. (1989). The semantic conception of theories and scientific realism. Urbana and Chicago: University of Illinois Press.

    Google Scholar 

  • Suppes, P. (1957). Introduction to logic. New York: Van Nostrand.

    Google Scholar 

  • Suppes, P. (1969). Studies in the methodology and foundations of science: Selected papers from 1951 to 1969. Dordrecht: Reidel.

    Book  Google Scholar 

  • Suppes, P. (1993). Models and methods in the philosophy of science: Selected essays. Dordrecht: Reidel.

    Book  Google Scholar 

  • Suppes, P. (2002). Representation and invariance of scientific structures. Stanford: CSLI Publications.

    Google Scholar 

  • Thomasson, A. (1999). Fiction and metaphysics. New York: Cambridge University Press.

    Google Scholar 

  • Thomson, P. (1989). The structure of biological theories. Albany: State University of New York Press.

    Google Scholar 

  • Thomson-Jones, M., & Cartwright, N. (Eds.). (2005). Idealization XII: Correcting the model. Idealization and abstraction in the sciences. Amsterdam and New York: Rodopi.

    Google Scholar 

  • Tolk, A. (Ed.). (2013). Ontology, epistemology, and teleology for modeling and simulation: Philosophical foundations for intelligent M & S applications. Dordrecht: Springer.

    Google Scholar 

  • Toon, A. (2012). Models as make-believe: Imagination, fiction, and scientific representation. New York: Palgrave Macmillan.

    Book  Google Scholar 

  • Vaihinger, H. (1927). Die Philosophie des Als Ob. Tenth edition. Leipzig: Felix Meiner. [First edition: 1911]. [English translation from the 1920 sixth German edition: The philosophy of ‘as if’. New York: Harcourt, Brace, and Company, 1925].

    Google Scholar 

  • Van Fraassen, B. (1980). The Scientific image. Oxford: Clarendon Press.

    Book  Google Scholar 

  • Van Fraassen, B. (1989). Laws and symmetry. Oxford: Clarendon Press.

    Book  Google Scholar 

  • Van Fraassen, B. (2008). Scientific representation: Paradoxes of perspective. Oxford: Clarendon Press.

    Book  Google Scholar 

  • Varenne, F. (2019). From models to simulations. London and New York: Routledge.

    Google Scholar 

  • Walton, K. (1990). Mimesis as make-believe: On the foundations of the representational arts. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Wartofsky, M. (1979). Models: Representation and the scientific understanding. Dordrecht: Reidel.

    Book  Google Scholar 

  • Weisberg, M. (2013). Simulation and similarity: Using models to understand the world. Oxford and New York: Oxford University Press.

    Book  Google Scholar 

  • Wheeler, B. (2018). Idealization and the laws of nature. Cham: Springer.

    Book  Google Scholar 

  • Wimsatt, W. (2007). Re-engineering philosophy for limited beings: Piecewise approximations to reality. Cambridge, MA: Cambridge University Press.

    Google Scholar 

  • Winsberg, E. (2010). Science in the age of computer simulation. Chicago: The University of Chicago Press.

    Book  Google Scholar 

  • Winsberg, E. (2018). Philosophy and climate science. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Woods, J. (Ed.). (2010). Fiction and models: New essays. Munich: Philosophia Verlag.

    Google Scholar 

  • Woods, J. (2018). Truth in fiction: Rethinking its logic. Cham: Springer.

    Book  Google Scholar 

Download references

Acknowledgements

I am grateful to Juan Manuel Durán for his advice concerning the literature on computer simulations and to Tarja Knuuttila and Roman Frigg for providing some references on models and idealizations.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alejandro Cassini .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Cassini, A. (2021). Commented Bibliography on Models and Idealizations. In: Cassini, A., Redmond, J. (eds) Models and Idealizations in Science. Logic, Epistemology, and the Unity of Science, vol 50. Springer, Cham. https://doi.org/10.1007/978-3-030-65802-1_12

Download citation

Publish with us

Policies and ethics

Navigation