In:
Personality and Social Psychology Review, SAGE Publications, Vol. 6, No. 4 ( 2002-11), p. 295-303
Abstract:
Stereotype change is simulated in a distributed recurrent network. Although it operates using iterative application of simple learning rules as each new group member is presented, the network can nonetheless mimic both bookkeeping (Rothbart, 1981) and subtyping (Brewer, 1981; Taylor, 1981) patterns of results. It produces these effects through learning of reliable covariations between counterstereotypic units. Advantages and disadvantages of using a distributed recurrent network to model the representation of stereotypes are discussed. Key among the advantages are those relevant to the dynamic nature of these models.
Type of Medium:
Online Resource
ISSN:
1088-8683
,
1532-7957
DOI:
10.1207/S15327957PSPR0604_04
Language:
English
Publisher:
SAGE Publications
Publication Date:
2002
detail.hit.zdb_id:
1338495-8
detail.hit.zdb_id:
2022092-3
SSG:
5,2
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