Literature DB >> 12924866

Context-gated knowledge partitioning in categorization.

Lee-Xieng Yang1, Stephan Lewandowsky.   

Abstract

According to the knowledge partitioning framework, people sometimes master complex tasks by creating multiple independent parcels of partial knowledge. Research has shown that knowledge parcels may contain mutually contradictory information, and that each parcel may be used without regard to knowledge that is demonstrably present in other parcels. This article reports 4 experiments that investigated knowledge partitioning in categorization. When component boundaries of a complex categorization were identified by a context cue, a significant proportion of participants learned partial and independent categorization strategies that were chosen on the basis of context. For those participants, a strategy used in one context was unaffected by knowledge demonstrably present in other contexts, suggesting that knowledge partitioning in categorization can be complete.

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Year:  2003        PMID: 12924866     DOI: 10.1037/0278-7393.29.4.663

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  12 in total

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3.  Knowledge partitioning in categorization: boundary conditions.

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8.  Learning to represent a multi-context environment: more than detecting changes.

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9.  A mixture approach to vagueness and ambiguity.

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10.  Bidirectional influences of information sampling and concept learning.

Authors:  Kurt Braunlich; Bradley C Love
Journal:  Psychol Rev       Date:  2021-07-19       Impact factor: 8.247

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