Skip to main content

Diagrams as Part of Physical Theories: A Representational Conception

  • Conference paper
  • First Online:
Diagrammatic Representation and Inference (Diagrams 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12909))

Included in the following conference series:

Abstract

Throughout the history of the philosophy of science, theories have been linked to formulas as a privileged representational format. In this paper, following [8], I defend a semantic-representational conception of theories, where theories are identified with sets of scientific re-presentations by virtue of their epistemic potential and independently of their format. To show the potential of this proposal, I analyze as a case study the use of phase diagrams in statistical mechanics to convey in a semantically consistent and syntactically correct way theoretical principles such as Liouville’s theorem. I conclude by defending this philosophical position as a tool to show the enormous representational richness underlying scientific practices.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Anta, J.: Integrating Inferentialism about physical theories and representations: a case for phase space diagrams. Critica 52(156) (2021)

    Google Scholar 

  2. Barwise, J., Etchemendy, J.: Heterogeneous logic. In: Allwein, G., Barwise, J., (eds.) Logical Reasoning with Diagrams. Oxford University Press, Oxford (1996)

    Google Scholar 

  3. Cartwright, N.: The Dappled World: A Study of the Boundaries of Science. Cambridge University Press, Cambridge (1999). https://doi.org/10.1017/CBO9781139167093

  4. Frigg, R., Hartmann, S.: Models in science. In: Zalta, E.N., (ed.) The Stanford Encyclopedia of Philosophy. https://plato.stanford.edu/archives/spr2020/entries/models-science/ (2020)

  5. Giere, R.: Explaining Science: A Cognitive Approach. University of Chicago Press, Chicago, IL (1988)

    Google Scholar 

  6. Hacking, I.: Representing and Intervening: Introductory Topics in the Philosophy of Natural Science. Cambridge University Press, Cambridge (1983)

    Book  Google Scholar 

  7. Hughes, R.: Models and representation. Philos. Sci. 64(4), 336 (1997)

    Google Scholar 

  8. Suárez, M., Pero, F.: The representational semantic conception. Philos. Sci. 86(2), 344–365 (2019)

    Article  MathSciNet  Google Scholar 

  9. Suppes, P.: Introduction to Logic. Princeton, D. Van Nostrand Co (1957)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Anta, J. (2021). Diagrams as Part of Physical Theories: A Representational Conception. In: Basu, A., Stapleton, G., Linker, S., Legg, C., Manalo, E., Viana, P. (eds) Diagrammatic Representation and Inference. Diagrams 2021. Lecture Notes in Computer Science(), vol 12909. Springer, Cham. https://doi.org/10.1007/978-3-030-86062-2_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-86062-2_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86061-5

  • Online ISBN: 978-3-030-86062-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics