Hostname: page-component-8448b6f56d-tj2md Total loading time: 0 Render date: 2024-04-18T20:15:52.271Z Has data issue: false hasContentIssue false
  • English
  • Français

Where are nature's joints? Finding the mechanisms underlying categorization

Published online by Cambridge University Press:  29 June 2010

Arthur B. Markman
Arthur B. Markman
Affiliation:
Department of Psychology, University of Texas, Austin, TX 78712. markman@psy.utexas.eduhttp://www.psy.utexas.edu/psy/FACULTY/Markman/index.html
Get access Rights & Permissions [Opens in a new window]

Abstract

Machery argues that concepts are too heterogeneous to be a natural kind. I argue that the book does not go far enough. Theories of concepts assume that the task of categorizing warrants a unique set of cognitive constructs. Instead, cognitive science must look across tasks to find a fundamental set of cognitive mechanisms.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 33 , Issue 2-3 , June 2010 , pp. 220 - 221
Copyright
Copyright © Cambridge University Press 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ashby, F. G., Alfonso-Reese, L. A., Turken, A. U. & Waldron, E. M. (1998) A neuropsychological theory of multiple systems in category learning. Psychological Review 105(3):442–81.CrossRefGoogle ScholarPubMed
Chin-Parker, S. & Ross, B. H. (2002) The effect of category learning on sensitivity to within-category correlations. Memory and Cognition 30(3):353–62.CrossRefGoogle ScholarPubMed
Garrod, S. & Anderson, A. (1987) Saying what you mean in dialogue: A study in conceptual and semantic co-ordination. Cognition 27:181–218.CrossRefGoogle ScholarPubMed
Garrod, S. & Doherty, G. (1994) Conversation, co-ordination and convention: An empirical investigation of how groups establish linguistic conventions. Cognition 53:181–215.CrossRefGoogle ScholarPubMed
Knowlton, B. J., Squire, L. R. & Gluck, M. A. (1994) Probabilistic classification learning in amnesia. Learning and Memory 1:106–20.CrossRefGoogle ScholarPubMed
Logan, G. D. (1988) Toward an instance theory of automaticity. Psychological Review 95:492–527.CrossRefGoogle Scholar
Logan, G. D. (2002) An instance theory of attention and memory. Psychological Review 109(2):376–400.CrossRefGoogle ScholarPubMed
Machery, E. (2009) Doing without concepts. Oxford University Press.CrossRefGoogle Scholar
Maddox, W. T. & Ashby, F. G. (2004) Dissociating explicit and procedure-learning based systems of perceptual category learning. Behavioral Processes 66(3):309–32.CrossRefGoogle Scholar
Malt, B. C., Sloman, S. A. & Gennari, S. P. (2003) Universality and language specificity in object naming. Journal of Memory and Language 49:20–42.CrossRefGoogle Scholar
Markman, A. B. & Dietrich, E. (2000) In defense of representation. Cognitive Psychology 40(2):138–71.CrossRefGoogle ScholarPubMed
Markman, A. B. & Makin, V. S. (1998) Referential communication and category acquisition. Journal of Experimental Psychology: General 127(4):331–54.CrossRefGoogle ScholarPubMed
Markman, A. B. & Ross, B. (2003) Category use and category learning. Psychological Bulletin 129:592–613.CrossRefGoogle ScholarPubMed
Morris, C. D., Bransford, J. D. & Franks, J. J. (1977) Levels of processing versus transfer appropriate processing. Journal of Verbal Learning and Verbal Behavior 16:519–33.CrossRefGoogle Scholar
Spivey, M. (2007) The continuity of mind. Oxford University Press.Google Scholar
Uttal, W. R. (2001) The new phrenology. MIT Press.Google Scholar
Yamauchi, T., Love, B. C. & Markman, A. B. (2002) Learning nonlinearly separable categories by inference and classification. Journal of Experimental Psychology: Learning, Memory, and Cognition 28(3):585–93.Google ScholarPubMed
Yamauchi, T. & Markman, A. B. (1998) Category learning by inference and classification. Journal of Memory and Language 39(1):124–48.CrossRefGoogle Scholar