Skip to main content

Activation of the Eddy Mental Schema, Multiple Analogies and Their Heuristic Cooperation in the Historical Development of Fluid Dynamics

  • Chapter
  • First Online:
Building Theories

Part of the book series: Studies in Applied Philosophy, Epistemology and Rational Ethics ((SAPERE,volume 41))

  • 523 Accesses

Abstract

If we analyze the early historical evolution of the concept of eddy or vortex, it can be shown that it constitutes a mental schema and a powerful heuristic instrument in scientific thinking, with the intuitive properties of rotation and dissipation. This mental schema presents a great capacity to constitute a fruitful analogical source and to develop an analogical inference. For example, Descartes considered celestial vortexes to explain planetary motion, or Maxwell developed the electromagnetic theory via a model based on rotating vortexes. But there were more creative and detailed uses of the eddy schema which had great importance as a cooperative heuristic instrument, instead of as a mere expedient analogy. I will present two episodes to underline the activation via provocative analogy of the eddy schema, multiple roles that it can play and its heuristic adaptability: first, the eureka visualization of an eddy by Johann Bernoulli in the genesis of fluid dynamics; and second, Reynolds’s discovery of the importance of eddies to understand the dynamic and resistance of flow.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover 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

Notes

  1. 1.

    PREFATIO, p. 392: Miratus unde tanta dificultas, ut in fluidis, non aque ac in folidis, fuccedat principiorum dynamicorum applicatio; tandem rem acrius animo volvens, detexi veram dificultati originem; quan in eo consistere deprehendi, quod pars quaedam virium prementium inpemsa in formandum gurgitem (a me ita dictum ab aliis non anivadversum) tanquam nullius momenti fuerit neglecta, & insuper habita, non aliam ob causam quam quia gurges conflatur ex quantitate fluidi perexigua, ac veluti infinite parva, qualis formatur quotiescunque fluidum transit ex loco ampliori in angustiorem, vel vice versa ex angustiori in ampliorem. In priori casu sit gurges ante transitum, in altero post transitum.

  2. 2.

    PREFATIO, p. 373, II Def. Vis motrix est, quae quando agit in corpus quiescens, illud in motum concitat, aut quae corpus jam motum vel accelerare, vel retardare, vel ejus directionem mutare protest/“A motive force is that which, when it acts on a body at rest, excites it into motion, or which can cause a body already moving to accelerate, decelerate, or change its direction”.

  3. 3.

    PREFATIO, p. 374, IV Def. Vis motrix divisa per massam, dat vim acceleratricem, per hanc vero divisa, dat massam/ “The motive force divided by the mass gives the acelerative force, but divided by this gives the mass.”.

References

  • Aliseda, A. (1997). Seeking explanations: Abduction in logic, philosophy of science and artificial intelligence. Amsterdam: Universiteit van Amsterdam.

    Google Scholar 

  • Bartha, P. (2010). By parallel reasoning. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Bernoulli, D., & Bernoulli, J. (1968). Hydrodynamics, by Daniel Bernoulli & Hydraulics, by Johann Bernoulli. New York: Dover.

    Google Scholar 

  • Cellucci, C., & Gillies, D. (2005). Mathematical reasoning and heuristics. London: King’s College Publications.

    Google Scholar 

  • Clement, J. (1988). Observed methods for generating analogies in scientific problem solving. Cognitive Science, 12(4), 563–586.

    Article  Google Scholar 

  • Clement, J. (1989). Learning via model construction and criticism: Protocol evidence on sources of creativity in science. In J. Glover, R. Ronning & C. Reynolds (Eds.), Handbook of creativity: Assessment, theory and research (pp. 341–381). New York: Plenum.

    Google Scholar 

  • Clement, J. J. (2008). Creative model construction in scientists and students: The role of imagery, analogy, and mental simulation (Softcover edition, 2009). Springer: New York. ISBN: 90481302399789048130238.

    Google Scholar 

  • Darrigol, O. (2005). Worlds of flow: A history of hydrodynamics from the Bernoullis to Prandtl. Oxford: Oxford University Press.

    Google Scholar 

  • Darrigol, O. (2010). The analogy between light and sound in the history of optics from the ancient Greeks to Isaac Newton. Centaurus, 52(2), 117–155.

    Article  Google Scholar 

  • Gentner, D. (1983). Structure-mapping: A theoretical framework for analogy. Cognitive Science, 7(2), 155–170.

    Article  Google Scholar 

  • Graham, T. (1846). On the Motion of Gases. Philosophical Transactions of the Royal Society of London, 136(1846), 573–631.

    Article  Google Scholar 

  • Hanson, N. R. (1958). The logic of discovery. The Journal of Philosophy, 55(25), 1073–1089.

    Google Scholar 

  • Hintikka, J. (1985). True and false logic of scientific discovery. Communication and Cognition, 18(1/2), 3–14.

    Google Scholar 

  • Hintikka, J. (1998). What is abduction? The fundamental problem of contemporary epistemology. Transactions of the Charles S Peirce Society, 34(3), 503–533.

    Google Scholar 

  • Holyoak, K. J., & Thagard, P. (1989). Analogical mapping by constraint satisfaction. Cognitive Science, 13(3), 295–355.

    Article  Google Scholar 

  • Hon, G., & Goldstein, B. R. (2012). Maxwell’s contrived analogy: An early version of the methodology of modeling. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics, 43(4), 236–257.

    Article  Google Scholar 

  • Ippoliti, E. (Ed.). (2015). Heuristic reasoning. Berlin: Springer.

    Google Scholar 

  • Jung, S. (1996). The logic of discovery. New York: Peter Lang.

    Google Scholar 

  • Kirlik, A., & Storkerson, P. (2010). Naturalizing Peirces semiotics: Ecological psychology’s solution to the problem of creative abduction. In Model-based reasoning in science and technology (pp. 31–50). Berlin: Springer.

    Google Scholar 

  • Lakatos, I. (1976). In J. Worrall & E. Zahar (Eds.), Proofs and refutations: The logic of mathematical discovery. Reediting: Cambridge University Press (2015).

    Google Scholar 

  • Lakoff, G., & Núñez, R. E. (2000). Where mathematics comes from: How the embodied mind brings mathematics into being. New York: Basic Books.

    Google Scholar 

  • Laudan, L. (1980). Why was the logic of discovery abandoned? In Scientific discovery, logic, and rationality (pp. 173–183). Netherlands: Springer.

    Google Scholar 

  • MacLane, S. (2012). Mathematics, form and function. Springer: Science & Business Media.

    Google Scholar 

  • Magnani, L. (2009). Abductive cognition: The eco-cognitive dimension of hypothetical reasoning. New York: Springer.

    Book  Google Scholar 

  • Maxwell, J. C. (1862). XIV. On physical lines of force. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 23(152), 85–95.

    Google Scholar 

  • Meyer, M. (2010). Abduction—A logical view for investigating and initiating processes of discovering mathematical coherences. Educational Studies in Mathematics, 74(2), 185–205.

    Article  Google Scholar 

  • Nersessian, N. J. (2002). Maxwell and the method of physical analogy: Model-based reasoning, generic abstraction, and conceptual change. Essays in the History and Philosophy of Science and Mathematics, 129–166.

    Google Scholar 

  • Nersessian, N. J. (2008). Creating scientific concepts. Cambridge: MIT press.

    Google Scholar 

  • Nickles, T. (1980). Scientific discovery: Case studies (Vol. 1, 2). United Kingdom: Taylor & Francis.

    Google Scholar 

  • Paavola, S. (2004). Abduction as a logic and methodology of discovery: The importance of strategies. Foundations of Science, 9(3), 267–283.

    Article  Google Scholar 

  • PĂłlya, G. (1957). How to solve it. A new aspect of mathematical method. Princeton: Princ. UP.

    Google Scholar 

  • Reynolds, O. (1874a). The cause of the racing of the engines of screw steamers investigated theoretically and by experiment. PLPSM, also in ReP, 1, 51–58.

    Google Scholar 

  • Reynolds, O. (1874b). On the extent and action of the heating surface of steam boilers. PLPSM, also in ReP, 1, 81–85.

    Google Scholar 

  • Reynolds, O. (1883). An experimental investigation of the circumstances which determine whether the motion of water shall be direct or sinuous, and of the law of resistance in parallel channels. Proceedings of the Royal Society of London, 35(224–226), 84–99.

    Article  Google Scholar 

  • Sintonen, M. (1996). Structuralism and the Interrogative Model of Inquiry. In Structuralist theory of science. Focal issues, new results (pp. 45–75). Berlin/New York: Walter de Gruyter.

    Google Scholar 

  • Tait, P. G. (1876). Lectures on some recent advances in physical sciences (2nd edn.). London.

    Google Scholar 

  • Thagard, P. (2002). Coherence in thought and action. Massachusetts: MIT press.

    Google Scholar 

  • Ulazia, A. (2016a). Multiple roles for analogies in the genesis of fluid mechanics: How analogies can cooperate with other heuristic strategies. Foundations of Science, 21(4), 543–565.

    Article  Google Scholar 

  • Ulazia, A. (2016b). The cognitive nexus between Bohr’s analogy for the atom and Pauli’s exclusion schema. Endeavor, 40(1), 56–64.

    Article  Google Scholar 

  • Woods, J. (2013). Errors of reasoning: Naturalizing the logic of inference. London: College Publications.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. Ulazia .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Ulazia, A. (2018). Activation of the Eddy Mental Schema, Multiple Analogies and Their Heuristic Cooperation in the Historical Development of Fluid Dynamics. In: Danks, D., Ippoliti, E. (eds) Building Theories. Studies in Applied Philosophy, Epistemology and Rational Ethics, vol 41. Springer, Cham. https://doi.org/10.1007/978-3-319-72787-5_8

Download citation

Publish with us

Policies and ethics