Quality & Quantity

, Volume 50, Issue 3, pp 1367–1384 | Cite as

When are concepts comparable across minds?

Article

Abstract

In communication, people cannot resort to direct reference (e.g., pointing) when using diffuse concepts like democracy. Given that concepts reside in individuals’ minds, how can people share those concepts? We argue that concepts are comparable across a social group if they afford agreement for those who use it; and that agreement occurs whenever individuals receive evidence that others conceptualize a given situation similarly to them. Based on Conceptual Agreement Theory, we show how to compute an agreement probability based on the sets of properties belonging to concepts. If that probability is sufficiently high, this shows that concepts afford an adequate level of agreement, and one may say that concepts are comparable across individuals’ minds. In contrast to other approaches, our method considers that inter-individual variability in naturally occurring conceptual content exists and is a fact that must be taken into account, whereas other theories treat variability as error that should be cancelled out. Given that conceptual variability will exist, our approach may establish whether concepts are comparable across individuals’ minds more soundly than previous methods.

Keywords

Conceptual Agreement Theory Conceptual variability Shared meaning Agreement 

References

  1. Ashby, F.G., Alfonso-Reese, L.A.: Categorization as probability density estimation. J. Math. Psychol. 39, 216–233 (1995)CrossRefGoogle Scholar
  2. Barsalou, L.W.: The instability of graded structure: implications for the nature of concepts. In: Neisser, U. (ed.) Concepts and Conceptual Development: Ecological and Intellectual Factors in Categorization, pp. 101–140. Cambridge University Press, Cambridge (1987)Google Scholar
  3. Barsalou, L.W.: Flexibility, structure, and linguistic vagary in concepts: manifestations of a compositional system of perceptual symbols. In: Collins, A.C., Gathercole, S.E., Conway, M.A. (eds.) Theories of Memory, pp. 29–101. Lawrence Erlbaum Associates, London (1993)Google Scholar
  4. Batchelder, W.H., Anders, R.: Cultural consensus theory: comparing different concepts of cultural truth. J. Math. Psychol. 56(5), 316–332 (2012)CrossRefGoogle Scholar
  5. Batchelder, W.H., Romney, A.K.: Test theory without an answer key. Psychometrika 53, 71–92 (1988)CrossRefGoogle Scholar
  6. Brennan, S.E., Clark, H.H.: Conceptual pacts and lexical choice in conversation. J. Exp. Psychol. 22, 1482–1493 (1996)Google Scholar
  7. Carpenter, M., Nagell, K., Tomasello, M.: Social cognition, joint attention, and communicative competence from 9 to 15 months of age. Monogr. Soc. Res. Child Dev. 63, 1–143 (1998)CrossRefGoogle Scholar
  8. Chaigneau, S.E., Canessa, E., Gaete, J.: Conceptual agreement theory. New Ideas Psychol. 30(2), 179–189 (2012)CrossRefGoogle Scholar
  9. Chang, K.K., Mitchell, T., Just, M.A.: Quantitative modeling of the neural representation of objects: how semantic feature norms can account for fMRI activation. Neuroimage 56, 716–727 (2011)CrossRefGoogle Scholar
  10. Converse, P.E.: The nature of belief systems in mass publics. In: Apter, D.E. (ed.) Ideology and Discontent, pp. 206–261. The Free Press, New York (1964)Google Scholar
  11. Cosmides, L., Tooby, J.: Are humans good intuitive statisticians after all? Rethinking some conclusions from the literature on judgment under uncertainty. Cognition 58, 1–73 (1996)CrossRefGoogle Scholar
  12. D’Lauro, C., Tanaka, J.W., Curran, T.: The preferred level of face categorization depends on discriminability. Psychon. Bull. Rev. 15, 623–629 (2008)CrossRefGoogle Scholar
  13. Ereshefsky, M.: Species and the Linnaean hierarchy. In: Wilson, R.A. (ed.) Species: New Interdisciplinary Essays, pp. 285–306. MIT Press, Cambridge, MA (2000)Google Scholar
  14. Frege, G.: On sense and reference. In: P. Geach, M. Black (eds.), Translations from the Philosophical Writings of Gottlob Frege, pp. 56–78. Blackwell, Oxford (1893/1952)Google Scholar
  15. Gabora, L., Rosch, E., Aerts, D.: Toward an ecological theory of concepts. Ecol. Psychol. 20(1), 84–116 (2008)CrossRefGoogle Scholar
  16. Garrod, S., Anderson, A.: Saying what you mean in dialogue: a study in conceptual co-ordination. Cognition 27, 181–218 (1987)CrossRefGoogle Scholar
  17. Glock, H.J.: Concepts: where subjectivism goes wrong. Philosophy 84(1), 5–29 (2009)CrossRefGoogle Scholar
  18. Hampton, J.A.: Polymorphous concepts in semantic memory. J. Verbal Learn. Verbal Behav. 18, 441–461 (1979)CrossRefGoogle Scholar
  19. Hasher, L., Zacks, R.T.: Automatic processing of fundamental information: the case of frequency of occurrence. Am. Psychol. 39(12), 1372–1388 (1984)CrossRefGoogle Scholar
  20. Henley, N.M.: A psychological study of the semantics of animal terms. J. Verbal Learn. Verbal Behav. 8(2), 176–184 (1969)CrossRefGoogle Scholar
  21. Kane, J.S., Woehr, D.J.: Performance measurement reconsidered: an examination of frequency estimation as a basis for assessment. In: Bennett, W., Lance, C., Woehr, D.J. (eds.) Performance Measurement: Current Perspectives and Future Challenges. Lawrence Erlbaum, Hillsdale (2006)Google Scholar
  22. Kripke, S.: Naming and Necessity. Harvard University Press, Cambridge (1980)Google Scholar
  23. Mayden, R.L.: A hierarchy of species concepts: the denouement in the saga of the species problem. In: Claridge, M.F., Dawah, H.A., Wilson, M.R. (eds.) Species: The Units of Diversity, pp. 381–423. Chapman and Hall, London (1997)Google Scholar
  24. McRae, K., Cree, G.S., Seidenberg, M.S., McNorgan, C.: Semantic feature production norms for a large set of living and nonliving things. Behav. Res. Methods 37, 547–559 (2005)CrossRefGoogle Scholar
  25. Mishler, B.: Getting rid of species? In: Wilson, R.A. (ed.) Species: New Interdisciplinary Essays, pp. 307–315. MIT Press, Cambridge, MA (2000)Google Scholar
  26. Moses, L.J., Baldwin, D.A., Rosicky, J.G., Tidball, G.: Evidence of referential understanding in the emotions domain at 12 and 18 months. Child Dev. 72, 718–735 (2001)CrossRefGoogle Scholar
  27. Murphy, G.L., Brownell, H.H.: Category differentiation in object recognition: typicality constraints on the basic category advantage. J. Exp. Psychol. Learn. 11(1), 70–84 (1985)CrossRefGoogle Scholar
  28. Patalano, A.L., Chin-Parker, S., Ross, B.H.: The importance of being coherent: category coherence, cross-classification, and reasoning. J. Mem. Lang. 54(3), 407–424 (2006)CrossRefGoogle Scholar
  29. Pleijel, F., Rouse, G.W.: A new taxon, capricornia (Hesionidae, Polychaeta), illustrating the LITU (‘least-inclusive taxonomic unit’) concept. Zool. Scr. 29, 157–168 (2000a)CrossRefGoogle Scholar
  30. Pleijel, F., Rouse, G.W.: Least-inclusive taxonomic unit: a new taxonomic concept for biology. Proc. R. Soc. B 267, 627–630 (2000b)CrossRefGoogle Scholar
  31. Popper, K.R.: Objective Knowledge: An Evolutionary Approach. Oxford University Press, Cambridge (1972)Google Scholar
  32. Putnam, H.: Meaning and reference. J. Philos. 70(19), 699–711 (1973)CrossRefGoogle Scholar
  33. Richardson, D.C., Dale, R., Tomlinson, J.M.: Conversation, gaze coordination, and beliefs about visual context. Cogn. Sci. 33, 1468–1482 (2009)CrossRefGoogle Scholar
  34. Rips, L.J., Medin, D.L.: Concepts and categories: memory, meaning, and metaphysics. In: Holyoak, Keith J., Morrison, Robert G. (eds.) The Cambridge Handbook of Thinking and Reasoning, pp. 37–72. Cambridge University Press, New York, NY (2005)Google Scholar
  35. Rogers, T.T., Patterson, K.: Object categorization: reversals and explanations of the basic-level advantage. J. Exp. Psychol. 136(3), 451–469 (2007)CrossRefGoogle Scholar
  36. Romney, A.K., Boyd, J.P., Moore, C.C., Batchelder, W.H., Brazill, T.J.: Culture as shared cognitive representations. Proc. Natl Acad. Sci. USA 93(10), 4699–4705 (1996)CrossRefGoogle Scholar
  37. Rosch, E., Mervis, C.B.: Family resemblances: studies in the internal structure of categories. Cogn. Psychol. 7, 573–605 (1975)CrossRefGoogle Scholar
  38. Rosch, E., Mervis, C.B., Gray, W.D., Johnson, D.M., Boyes-Braem, P.: Basic objects in natural categories. Cogn. Psychol. 8, 382–439 (1976)CrossRefGoogle Scholar
  39. Smith, E.E.: Theories of semantic memory. In: Estes, W.K. (ed.) Handbook of Learning and Cognitive Processes, pp. 1–56. Lawrence Erlbaum Associates, Hillsdale, NJ (1978)Google Scholar
  40. Spivey, M.J., Tanenhaus, M.K., Eberhard, K.M., Sedivy, J.C.: Eye movements and spoken language comprehension: effects of visual context on syntactic ambiguity resolution. Cogn. Psychol. 45(4), 447–481 (2002)CrossRefGoogle Scholar
  41. Steiner, D.D., Rain, J.S., Smalley, M.M.: Distributional ratings of performance: further examination of a new rating format. J. Appl. Psychol. 78(1993), 438–442 (1993)CrossRefGoogle Scholar
  42. Tomasello, M.: Joint attention as social cognition. In: Moore, C., Dunham, P.J. (eds.) Joint Attention: Its Origins and Role in Development, pp. 103–130. Lawrence Erlbaum, Hillsdale (1995)Google Scholar
  43. Tversky, A.: Features of similarity. Psychol. Rev. 84(4), 327–352 (1977)CrossRefGoogle Scholar
  44. Woehr, D.J., Miller, M.J.: Distributional ratings of performance: more evidence for a new rating format. J. Manag. 23, 705–720 (1997)Google Scholar
  45. Wu, L.L., Barsalou, L.W.: Perceptual simulation in conceptual combination: evidence from property generation. Acta Psychol. 132, 173–189 (2009)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.Facultad de Ingeniería y CienciasUniversidad Adolfo IbáñezViña del MarChile
  2. 2.Escuela de PsicologíaUniversidad Adolfo IbáñezSantiagoChile

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