Skip to main content
Log in

On choosing between deterministic and indeterministic models: underdetermination and indirect evidence

  • Published:
Synthese Aims and scope Submit manuscript

Abstract

There are results which show that measure-theoretic deterministic models and stochastic models are observationally equivalent. Thus there is a choice between a deterministic and an indeterministic model and the question arises: Which model is preferable relative to evidence? If the evidence equally supports both models, there is underdetermination. This paper first distinguishes between different kinds of choice and clarifies the possible resulting types of underdetermination. Then a new answer is presented: the focus is on the choice between a Newtonian deterministic model supported by indirect evidence from other Newtonian models which invoke similar additional assumptions about the physical systems and a stochastic model that is not supported by indirect evidence. It is argued that the deterministic model is preferable. The argument against underdetermination is then generalised to a broader class of cases. Finally, the paper criticises the extant philosophical answers in relation to the preferable model. Winnie’s (1998) argument for the deterministic model is shown to deliver the correct conclusion relative to observations which are possible in principle and where there are no limits, in principle, on observational accuracy (the type of choice Winnie was concerned with). However, in practice the argument fails. A further point made is that Hoefer’s (2008) argument for the deterministic model is untenable.

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

  • Benedicks M., Young L.-S. (1993) Sinai–Bowen–Ruelle-measures for certain Hénon maps. Inventiones Mathematicae 112: 541–567

    Article  Google Scholar 

  • Berkovitz J., Frigg R., Kronz F. (2006) The ergodic hierarchy, randomness and Hamiltonian chaos. Studies in History and Philosophy of Modern Physics 37: 661–691

    Article  Google Scholar 

  • Butterfield, J. (2005). Determinism and indeterminism. Routledge Encyclopaedia of Philosophy Online.

  • Chernov N., Markarian R. (2006) Chaotic Billiards. American Mathematical Society, Providence

    Google Scholar 

  • Frigg R. (2008) A field guide to recent work on the foundations of statistical mechanics. In: Rickles D. (Ed.) The Ashgate companion to contemporary philosophy of physics. Ashgate, London, pp 99–196

    Google Scholar 

  • Hoefer, C. (2008). Causal determinism. In E. Zalta (Ed.), The Stanford encyclopaedia of philosophy (Winter 2008 Edition). Stanford. http://plato.stanford.edu/archives/win2008/entries/determinism-causal/.

  • Ladyman J. (2002) Understanding philosophy of science. Routledge, London

    Google Scholar 

  • Laudan L., Leplin J. (1991) Empirical equivalence and underdetermination. The Journal of Philosophy 88: 449–472

    Article  Google Scholar 

  • Lorenz E. (1963) Deterministic nonperiodic flow. Journal of the Atmospheric Sciences 20: 130–141

    Article  Google Scholar 

  • Luzzatto S., Melbourne I., Paccaut F. (2005) The Lorenz attractor is mixing. Communications in Mathematical Physics 260: 393–401

    Article  Google Scholar 

  • May R.M. (1976) Simple mathematical models with very complicated dynamics. Nature 261: 459–467

    Article  Google Scholar 

  • Moretti L. (2007) Ways in which coherence is confirmation conducive. Synthese 157: 309–319

    Article  Google Scholar 

  • Okasha S. (1998) Laudan and Leplin on empirical equivalence. The British Journal for the Philosophy of Science 48: 251–256

    Article  Google Scholar 

  • Okasha S. (2002) Underdetermination, holism and the theory/data distinction. The Philosophical Quarterly 208: 303–319

    Article  Google Scholar 

  • Ornstein D., Galavotti G. (1974) Billiards and Bernoulli schemes. Communications in Mathematical Physics 38: 83–101

    Article  Google Scholar 

  • Ornstein D., Weiss B. (1991) Statistical properties of chaotic systems. Bulletin of the American Mathematical Society 24: 11–116

    Article  Google Scholar 

  • Petersen K. (1989) Ergodic theory. Cambridge University Press, Cambridge

    Google Scholar 

  • Pitowsky I. (1996) Laplace’s demon consults an oracle: The computational complexity of prediction. Studies in History and Philosophy of Modern Physics 27(2): 161–180

    Article  Google Scholar 

  • Simányi N. (1999) Ergodicity of hard spheres in a box. Ergodic Theory and Dynamical Systems 19: 741–766

    Article  Google Scholar 

  • Simányi N. (2003) Proof of the Boltzmann–Sinai ergodic hypothesis for typical hard disk systems. Inventiones Mathematicae 154: 123–178

    Article  Google Scholar 

  • Stanford P. (2001) Refusing the devil’s bargain: What kind of underdetermination should we take seriously?. Philosophy of Science (Supplement) 68: S1–S12

    Article  Google Scholar 

  • Suppes P. (1993) The transcendental character of determinism. Midwest Studies in Philosophy 18: 242–257

    Article  Google Scholar 

  • Suppes P., de Barros A. (1996) Photons, billiards and chaos. In: Weingartner P., Schurz G. (eds) Law and prediction in the light of chaos research. Springer, Berlin, pp 190–201

    Google Scholar 

  • Werndl C. (2009a) Are deterministic descriptions and indeterministic descriptions observationally equivalent?. Studies in History and Philosophy of Modern Physics 40: 232–242

    Article  Google Scholar 

  • Werndl C. (2009b) Deterministic versus indeterministic descriptions: Not that different after all?. In: Hieke A., Leitgeb H. (eds) Reduction, abstraction, analysis, proceedings of the 31st international Ludwig Wittgenstein-symposium. Ontos, Frankfurt, pp 63–78

    Google Scholar 

  • Werndl C. (2009c) What are the new implications of chaos for unpredictability. The British Journal for the Philosophy of Science 60: 195–220

    Article  Google Scholar 

  • Werndl C. (2011) On the observational equivalence of continuous-time deterministic and indeterministic descriptions. European Journal for the Philosophy of Science 1(2): 193–225

    Article  Google Scholar 

  • Winnie J. (1998) Deterministic chaos and the nature of chance. In: Earman J., Norton J. (eds) The cosmos of science–essays of exploration. Pittsburgh University Press, Pittsburgh, pp 299–324

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Charlotte Werndl.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Werndl, C. On choosing between deterministic and indeterministic models: underdetermination and indirect evidence. Synthese 190, 2243–2265 (2013). https://doi.org/10.1007/s11229-011-9966-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11229-011-9966-9

Keywords

Navigation