Skip to main content
Log in

Informational versus functional theories of scientific representation

  • Published:
Synthese Aims and scope Submit manuscript

Abstract

Recent work in the philosophy of science has generated an apparent conflict between theories attempting to explicate the nature of scientific representation. On one side, there are what one might call ‘informational’ views, which emphasize objective relations (such as similarity, isomorphism, and homomorphism) between representations (theories, models, simulations, diagrams, etc.) and their target systems. On the other side, there are what one might call ‘functional’ views, which emphasize cognitive activities performed in connection with these targets, such as interpretation and inference. The main sources of the impression of conflict here are arguments by some functionalists to the effect that informational theories are flawed: it is suggested that relations typically championed by informational theories are neither necessary nor sufficient for scientific representation, and that any theory excluding functions is inadequate. In this paper I critically examine these arguments, and contend that, as it turns out, informational and functional theories are importantly complementary.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Bartels A. (2006) Defending the structural concept of representation. Theoria 55: 7–19

    Google Scholar 

  • Callender C., Cohen J. (2006) There is no special problem about scientific representation. Theoria 55: 67–85

    Google Scholar 

  • Chakravartty A. (2004) Structuralism as a form of scientific realism. International Studies in the Philosophy of Science 18: 151–171

    Article  Google Scholar 

  • Chakravartty A. (2007) A metaphysics for scientific realism: Knowing the unobservable. Cambridge University Press, Cambridge

    Google Scholar 

  • Contessa G. (2007) Scientific representation, interpretation, and surrogative reasoning. Philosophy of Science 74: 48–68

    Article  Google Scholar 

  • Currie G. (1995) Image and mind: Film, philosophy and cognitive science. Cambridge University Press, Cambridge

    Google Scholar 

  • da Costa N.C.A., French S. (2003) Science and partial truth: A unitary understanding of models and scientific reasoning. Oxford University Press, Oxford

    Google Scholar 

  • Demopoulos W., Friedman M. (1985) Critical notice: Bertrand Russell’s The Analysis of Matter: Its historical context and contemporary interest. Philosophy of Science 52: 621–639

    Article  Google Scholar 

  • Elgin C.Z. (2004) True enough. Philosophical Issues 14: 113–131

    Article  Google Scholar 

  • Elgin, C. Z. (2006). Exemplification, idealization, and understanding. Presented at Beyond Mimesis and Nominalism: Representation in Art and Science. Organized by the Courtauld Institute and London School of Economics.

  • French S. (2003) A model-theoretic account of representation (or, I don’t know much about art...but I know it involves isomorphism). Philosophy of Science 70: 1472–1483

    Article  Google Scholar 

  • Frigg R. (2006) Scientific representation and the semantic view of theories. Theoria 50: 49–65

    Google Scholar 

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

    Google Scholar 

  • Giere, R. N. (1999). Using models to represent reality. In L. Magnani, N. J. Nersessian, & P. Thagard (Eds.), Model-based reasoning in scientific discovery (pp. 41–57). Dordrecht: Kluwer.

  • Giere R.N. (2004) How models are used to represent reality. Philosophy of Science 71: 742–752

    Article  Google Scholar 

  • Goodman N. (1976) Languages of art: An approach to a theory of symbols (2nd ed). Indianapolis, Hackett

    Google Scholar 

  • Hughes R.I.G. (1997) Models and representation. Philosophy of Science 64: S325–S336

    Article  Google Scholar 

  • Ketland J. (2004) Empirical adequacy and ramsification. British Journal for the Philosophy of Science 55: 287–300

    Article  Google Scholar 

  • Melia J., Saatsi J. (2006) Ramseyfication and theoretical content. British Journal for the Philosophy of Science 57: 561–585

    Article  Google Scholar 

  • Mundy B. (1986) On the general theory of meaningful representation. Synthese 67: 391–437

    Article  Google Scholar 

  • Scruton R. (1983) The aesthetic understanding: Essays in the philosophy of art and culture. Methuen, London

    Google Scholar 

  • Suárez M. (2003) Scientific representation: Against similarity and isomorphism. International Studies in the Philosophy of Science 17: 225–244

    Article  Google Scholar 

  • Suárez M. (2004) An inferential conception of scientific representation. Philosophy of Science 71: 767–779

    Article  Google Scholar 

  • SuárezM. Solé A. (2006) On the analogy between cognitive representation and truth. Theoria 55: 39–48

    Google Scholar 

  • Swoyer C. (1991) Structural representation and surrogative reasoning. Synthese 87: 449–508

    Article  Google Scholar 

  • van Fraassen B.C. (1980) The scientific image. Oxford University Press, Oxford

    Book  Google Scholar 

  • van Fraassen B.C. (1989) Laws and symmetry. Clarendon, Oxford

    Book  Google Scholar 

  • Walton K.L. (1984) Transparent pictures: On the nature of photographic realism. Critical Inquiry 11: 246–277

    Article  Google Scholar 

  • Worrall, J., & Zahar, E. G. (2001). Ramseyfication and structural realism. In E. G. Zahar (Ed.), Poincaré’s philosophy: From conventionalism to phenomenology (Appendix IV, pp. 236–251). Chicago: Open Court.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anjan Chakravartty.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chakravartty, A. Informational versus functional theories of scientific representation. Synthese 172, 197 (2010). https://doi.org/10.1007/s11229-009-9502-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11229-009-9502-3

Keywords

Navigation