Skip to main content

An Inferential View on Human Intuition and Expertise

  • Conference paper
  • First Online:
Model-Based Reasoning in Science and Technology (MBR 2018)

Part of the book series: Studies in Applied Philosophy, Epistemology and Rational Ethics ((SAPERE,volume 49))

Included in the following conference series:

  • 418 Accesses

Abstract

There are two central assumptions in expertise research. First, skilled performance and expertise are not genuinely deliberative processes, but closely related to intuition. Second, intuitions cannot be reduced to mere emotionally driven behaviour. Rather, they are considered as the acquisition and application of (tacit) knowledge. To distinguish it from deliberatively acquired knowledge, tacit knowledge is referred to as know-how. However, little is known about the logicality of these cognitive processes and how such know-how is acquired and applied in actu. The aims of this paper are (1) to explicate the cognitive characteristics of intuitive processes and (2) to propose a framework that enables us to model intuitive processes as inferences. For the first aim, we turn to Polanyi’s theory of tacit knowing. For the second aim, we draw on Peirce’s conception of abduction. In this respect, we shall consider the function of epistemic feelings for the validation of abductive results. Finally, we draw on the inferential approach developed by Minnameier, which integrates the Peircean inferences (abduction, deduction, induction) into a unified framework. This framework is used to explain how to proceed from abduced suggestions to tacit knowledge. As a result, we can explicate the inferential processes underlying intuition in detail. Expertise research might benefit from our findings in two ways. First, they suggest, how know-how might be generated in actu. Second, they may contribute to educational research in facilitating the acquisition of expertise from rules to skillful know-how.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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

References

  1. Schön DA (1983) The reflective practitioner. how professionals think in action. Basic books

    Google Scholar 

  2. Dreyfus HL, Dreyfus SE (1986) Mind over machine: the power of human intuition and expertise in the era of computer. Free Press, New York

    Google Scholar 

  3. Kahneman D (2011) Thinking, fast and slow. Farrar, Straus and Giroux, New York

    Google Scholar 

  4. Smith VL (2008) Rationality in economics. Constructivist and ecological forms. CUP, New York

    Google Scholar 

  5. De Neys W (2012) Bias and conflict: a case for logical intuitions. Perspect. Psychol. Sci. 7:28–38. https://doi.org/10.1177/1745691611429354

    Article  Google Scholar 

  6. Thompson V (2014) What intuitions are… and are not. In: Ross BH (ed) The psychology of learning and motivation, vol 60. Elsevier, San Diego, pp 35–75

    Google Scholar 

  7. Neuweg GH (2004) Könnerschaft und implizites Wissen, 3rd edn. Waxmann, Münster

    Google Scholar 

  8. Neuweg GH (2015) Tacit knowing and implicit learning. In: Neuweg GH (ed) Das Schweigen der Könner. Waxmann, Münster, pp 81–96

    Google Scholar 

  9. Hayek F (1978) New studies in philosophy, politics, economics and the history of ideas. Routledge & Keagan Paul, London

    Book  Google Scholar 

  10. Raymond CM, Fazey I, Reed MS, Stringer LC, Robinson GM, Evely AC (2010) Integrating local and scientific knowledge for environmental management. J Environ Manage 91:1766–1777. https://doi.org/10.1016/j.jenvman.2010.03.023

    Article  Google Scholar 

  11. Polanyi M (1968) The body-mind relation. In: Coulson WR, Rogers CR (eds) Man and the Sciences of Man. Merrill, Columbus, pp 85–102

    Google Scholar 

  12. Minnameier G (2005) Wissen und inferentielles Denken: Zur Analyse und Gestaltung von Lehr-Lern-Prozessen. Lang, Frankfurt am Main

    Google Scholar 

  13. Minnameier G (2017) Forms of abduction and an inferential taxonomy. In: Magnani L, Bertolotti T (eds) Springer handbook of model-based science. Springer, Berlin, pp 175–195

    Chapter  Google Scholar 

  14. Sanders AF (1988) Michael Polanyi’s post-critical epistemology. A reconstruction of some aspects of “tacit knowing”. Rodopi, Amsterdam (1988)

    Google Scholar 

  15. Polanyi M (1966) The logic of tacit inference. Philosophy 41:1–18. https://doi.org/10.1017/S0031819100066110

  16. Polanyi M (1967) Sense-giving and sense-reading. Philosophy 42:301–325. https://doi.org/10.1017/S0031819100001509

    Article  Google Scholar 

  17. Peirce CS (1903/1960) Lectures on pragmatism. In: Hartshorne C, Weiss P (eds) Collected papers of Charles Sanders Peirce, vol 5 and 6. Belknap Press, Cambridge

    Google Scholar 

  18. Douglas, W.: Abductive reasoning. University of Alabama Press (2015)

    Google Scholar 

  19. Peirce Edition Project: The essential peirce. selected philosophical writings, vol 2. Bloomington, Indianapolis (1998)

    Google Scholar 

  20. Hawkins J, Pea RD (1987) Tools for bringing the culture of everyday and scientific thinking. J Res Sci Teach 24(4):291–307. https://doi.org/10.1002/tea.3660240404

    Article  Google Scholar 

  21. El Khachab C (2013) The logical goodness of abduction in C.S. Peirce’s thought. Trans Charles S. Peirce Soc 49:157–177. https://doi.org/10.2979/trancharpeirsoc.49.2.157

  22. Hermkes R (2016) Perception, abduction, and tacit inference. In: Magnani L, Casadio C (eds) Model-based reasoning in science and technology, studies in applied philosophy, epistemology and rational ethics 27. Springer International Publishing, Cham, pp 399–418

    Google Scholar 

  23. Magnani L (2009) Abductive cognition. The epistemological and eco-cognitive dimension of hypothetical reasoning. Springer, Berlin

    Google Scholar 

  24. Magnani L (2016) The eco-cognitive model of abduction II. Irrelevance and implausibility exculpated. J Appl Logic 15:94–129. https://doi.org/10.1016/j.jal.2016.02.001

  25. Magnani L (2004) Reasoning through doing. Epistemic mediators in scientific discovery. J Appl Logic 2:439–450. https://doi.org/10.1016/j.jal.2004.07.004

  26. Park W (2017) Magnani’s manipulative abduction. In: Magnani L, Bertolotti T (eds) Springer handbook of model-based science. Springer, Cham, pp 197–213

    Chapter  Google Scholar 

  27. Polanyi M (1962) Personal knowledge. Toward a post-critical philosophy. corrected edition. Routledge, London

    Google Scholar 

  28. Proust J (2015) The representational structure of feelings. In: Metzinger T, Windt JM (eds) Open MIND: 31. MIND Group, Frankfurt am Main. https://doi.org/10.15502/9783958570047

  29. Polanyi M The creative imagination. Wesleyan Lectures. Lecture 3. http://www.polanyisociety.org/WesleyanLectures/Weslyn-lec3-10-21-65.pdf. Accessed 2 Feb 2019

  30. Westcott MR, Ranzoni JH (1963) Correlates of intuitive thinking. Psychol Rep 12:595–613. https://doi.org/10.2466/pr0.1963.12.2.595

    Article  Google Scholar 

  31. Bastick CI (1982) Intuition: how we think and act. Wiley, New York

    Google Scholar 

  32. Schwartz N (1990) Feelings as information: informational and motivational functions of affective states. In: Higgins ET, Sorrentino RM (eds) Handbook of motivation and cognition: foundations of social behavior, vol 2. Guilford, New York, pp 527–651

    Google Scholar 

  33. Gigerenzer G (2008) Gut feelings: the intelligence of the unconscious. Penguin Books, New York

    Google Scholar 

  34. Epstein S (2010) Demystifying intuition: what it is, what it does, and how it does it. Psychol Inq 21:295–312. https://doi.org/10.1080/1047840X.2010.523875

    Article  Google Scholar 

  35. Koriat A (2000) The feeling of knowing: some metatheoretical implications for consciousness and control. Conscious Cogn 9:149–171. https://doi.org/10.1006/ccog.2000.0433

    Article  Google Scholar 

  36. McDermott R (2004) The feeling of rationality: the meaning of neuroscientific advances for political science. Perspect. Polit. 2:691–706. https://doi.org/10.1017/S1537592704040459

    Article  Google Scholar 

  37. Friston K (2003) Learning and inference in the brain. Neural Netw 16:1325–1352. https://doi.org/10.1016/j.neunet.2003.06.005

    Article  Google Scholar 

  38. Clark A (2015) Embodied prediction. In: Metzinger T, Windt JM (eds) Open MIND: 7. MIND Group, Frankfurt am Main. https://doi.org/10.15502/9783958570115

  39. Hawkins J (2006) On intelligence. Times Books, New York

    Google Scholar 

  40. Clark A (2013) Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behav Brain Sci 36:181–253. https://doi.org/10.1017/S0140525X12000477

    Article  Google Scholar 

  41. Hohwy J (2013) The predictive mind. OUP, Oxford

    Book  Google Scholar 

  42. Minnameier G (2016) Abduction, selection, and selective abduction. In: Magnani L, Casadio C (eds) Model-based reasoning in science and technology – logical, epistemological, and cognitive issues. Springer, Heidelberg, pp 309–318

    Google Scholar 

  43. Minnameier G (2016) Rationalität und Moralität. Zum systematischen Ort der Moral im Kontext von Präferenzen und Restriktionen. J Bus Econ Ethics 17(2):259–285. https://doi.org/10.1688/zfwu-2016-02-minnameier

  44. Zembylas T, Niederauer M (2017) Composing processes and Artistic Agency. Tacit knowledge in composing. Routledge, London

    Book  Google Scholar 

  45. Evans JS, Stanovich KE (2013) Dual-process theories of higher cognition: advancing the debate. Perspect Psychol Sci 8:223–241. https://doi.org/10.1177/1745691612460685

  46. Garrison KE, Handley IM (2017) Not merely experiential: unconscious thought can be rational. Front Psychol 8:199–211. https://doi.org/10.3389/fpsyg.2017.01096

    Article  Google Scholar 

  47. Daw ND, Gershman SJ, Seymour B, Dayan P, Dolan RL (2011) Model-based influences on human’s choices and striatal prediction errors. Neuron 69:1204–1215. https://doi.org/10.1016/j.neuron.2011.02.027

    Article  Google Scholar 

Download references

Acknowledgements

We would like to thank Gerhard Minnameier and Tim Bonowski for their helpful discussions.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rico Hermkes .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hermkes, R., Mach, H. (2019). An Inferential View on Human Intuition and Expertise. In: Nepomuceno-Fernández, Á., Magnani, L., Salguero-Lamillar, F., Barés-Gómez, C., Fontaine, M. (eds) Model-Based Reasoning in Science and Technology. MBR 2018. Studies in Applied Philosophy, Epistemology and Rational Ethics, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-030-32722-4_16

Download citation

Publish with us

Policies and ethics