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A pragmatic understanding of “knowing that” and “knowing how”: The pivotal role of conceptual structures

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1257))

Abstract

What is the difference between knowing that a cake is baked and knowing how to bake a cake? In each, the core concepts are the same, “cake” and “baking,” yet there seems to be a significant difference. The classical distinction between “knowing that” and “knowing how” points to the pivotal role of conceptual structures in both reasoning about and using knowledge. Peirce's recognition of this pivotal role is most clearly seen in the pragmatic maxim that links theoretical and practical maxims. By extending Peirce's pragmatism with the notion of a general argument pattern, the relation between conceptual structures and these ways of knowing can be understood in terms of the “filling instructions” for concepts. Since a robust account of conceptual structures must be able to handle both the context of “knowing that” and “knowing how,” it would seem reasonable to think that there will be multiple representations for the “filling instructions.” This in turn suggests that a methodological principle of tolerance between those approaches that stress the theoretical understanding of concepts appropriate to “knowing that” and those that stress the proceduralist understanding of concepts appropriate to “knowing how” is desirable.

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References

  1. Collins, H., Artificial Experts: Social Knowledge and Intelligent Machines, Cambridge, MA: MIT Press, 1990.

    Google Scholar 

  2. Smith, E. E. and Medin, D. L., Categories and Concepts, Cambridge, MA: Harvard University Press, 1981.

    Google Scholar 

  3. Schwartz, S. “Natural kind terms.” Cognition 7 (1979): 301–315.

    Google Scholar 

  4. Fodor, J., Garrett, M., Walker, E., and Parkes, C. M., “Against definitions,” Cognition 8 (1980): 263–367.

    Google Scholar 

  5. Rosch, E. and Mervis, C. B., “Family resemblances: studies in the internal structures of categories,” Cognitive Psychology 3 (1975): 382–429.

    Google Scholar 

  6. Wittgenstein, L., Philosophical Investigations. New York, NY: Macmillan, 1953.

    Google Scholar 

  7. Armstrong, S. L., Gleitman, L. R. and Gleitman, H. “What some concepts might not be,” Cognition 13 (1983): 263–308.

    Google Scholar 

  8. Smith, E. E., Shoben, E. J., and Rips, L. J., “Structure and process in semantic memory,” Psychological Review 81 (1974): 214–352.

    Google Scholar 

  9. Rosch. E., “Principles of categorization,” in E. Rosch and B. B. Lloyd, eds., Cognition and Categorization, Hillside, NJ: Erlbaum, 1978.

    Google Scholar 

  10. Cherniak, C., “Prototypicality and deductive reasoning,” Journal of Verbal Learning and Verbal Behavior 23 (1984): 625–642.

    Google Scholar 

  11. Rips, L. J., “Inductive judgments about natural categories,” Journal of Verbal Learning and Verbal Behavior 14 (1975): 665–681.

    Google Scholar 

  12. Tversky, A., “Features of similarity,” Psychological Review 84 (1977): 327–352.

    Google Scholar 

  13. Tversky, A. and Hutchinson, J. W., “Nearest neighbor analysis of psychological spaces,” Psychological Review 93 (1986): 3–22.

    Google Scholar 

  14. Malt, B. C. and Smith E. E., “Correlated properties in natural categories,” Journal of Verbal Learning and Verbal Behavior 23 (1984): 250–269.

    Google Scholar 

  15. Shepard, R. N., “Representation of structure in similarity data,” Psychometrika 39 (1974): 373–421.

    Google Scholar 

  16. Hartshorne, C. and Weiss, P. Collected Papers of Charles Sanders Peirce, Volume 5 and Volume 6, Harvard University Press, 1965.

    Google Scholar 

  17. Kitcher, P., “Explanatory Unification,” Philosophy of Science 48 (1981): 507–531.

    Google Scholar 

  18. Sowa, J. Conceptual Structures: Information Processing in Mind and Machine, Reading, MA: Addison-Wesley, 1984.

    Google Scholar 

  19. Cherniak, C., Minimal Rationality, Cambridge, MA: MIT Press, 1986.

    Google Scholar 

  20. Harman, G., Change in View, Cambridge, MA: MIT Press, 1986.

    Google Scholar 

  21. Giere, R., Explaining Science, Chicago, University of Chicago Press, 1988.

    Google Scholar 

  22. Kitcher, P., The Advancement of Science, New York: Oxford University Press, 1993.

    Google Scholar 

  23. Kolodner, J., Case-Based Reasoning, San Mateo, CA: Morgan Kaufmann, 1993.

    Google Scholar 

  24. Holyoak, K and Thagard, P., ambridge, MA: MIT Press, 1995.

    Google Scholar 

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Dickson Lukose Harry Delugach Mary Keeler Leroy Searle John Sowa

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© 1997 Springer-Verlag Berlin Heidelberg

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Rochowiak, D. (1997). A pragmatic understanding of “knowing that” and “knowing how”: The pivotal role of conceptual structures. In: Lukose, D., Delugach, H., Keeler, M., Searle, L., Sowa, J. (eds) Conceptual Structures: Fulfilling Peirce's Dream. ICCS 1997. Lecture Notes in Computer Science, vol 1257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0027888

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  • DOI: https://doi.org/10.1007/BFb0027888

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63308-2

  • Online ISBN: 978-3-540-69424-3

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