Hostname: page-component-74656f9884-rdgjk Total loading time: 0 Render date: 2026-11-08T13:10:13.922Z Has data issue: false hasContentIssue false

A theory of implicit and explicit knowledge

Published online by Cambridge University Press:  01 October 1999

Zoltan Dienes
Affiliation:
Experimental Psychology, University of Sussex, Brighton, Sussex BN1 9QG, England dienes@epunix.susx.ac.uk www.bids.susx.ac.uk/faculty/ep/dienes.htm
Josef Perner
Affiliation:
Institut fuer Psychologie, Universitaet Salzburg, A-5020 Salzburg, Austria josef.perner@sbg.ac.at www.sbg.ac.at/psy/people/perner_e.htm
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

The implicit-explicit distinction is applied to knowledge representations. Knowledge is taken to be an attitude towards a proposition which is true. The proposition itself predicates a property to some entity. A number of ways in which knowledge can be implicit or explicit emerge. If a higher aspect is known explicitly then each lower one must also be known explicitly. This partial hierarchy reduces the number of ways in which knowledge can be explicit. In the most important type of implicit knowledge, representations merely reflect the property of objects or events without predicating them of any particular entity. The clearest cases of explicit knowledge of a fact are representations of one's own attitude of knowing that fact. These distinctions are discussed in their relationship to similar distinctions such as procedural-declarative, conscious-unconscious, verbalizable-nonverbalizable, direct-indirect tests, and automatic-voluntary control. This is followed by an outline of how these distinctions can be used to integrate and relate the often divergent uses of the implicit-explicit distinction in different research areas. We illustrate this for visual perception, memory, cognitive development, and artificial grammar learning.

Information

Type
Research Article
Copyright
© 1999 Cambridge University Press