This Article Free Full Text (Free PDF) Free References Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Queller, S. Search for Related Content PubMed Articles by Queller, S. Social Bookmarking                   What's this?

Stereotype Change in a Recurrent Network

Department of Psychology, Indiana University

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.

CiteULike    Connotea    Del.icio.us    Digg    Reddit    Technorati    What's this?

This article has been cited by other articles:

				S. J. Read and D. I. Urada A Neural Network Simulation of the Outgroup Homogeneity Effect Personality and Social Psychology Review, May 1, 2003; 7(2): 146 - 169. [Abstract] [PDF]

				R. R. Vallacher, S. J. Read, and A. Nowak The Dynamical Perspective in Personality and Social Psychology Personality and Social Psychology Review, November 1, 2002; 6(4): 264 - 273. [Abstract] [PDF]