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A Connectionist Model of Person Perception and Stereotype Formation

  • Christophe L. Labiouse
  • Robert M. French
Conference paper
Part of the Perspectives in Neural Computing book series (PERSPECT.NEURAL)

Abstract

Connectionist modeling has begun to have an impact on research in social cognition. PDP models have been used to model a broad range of social psychological topics such as person perception, illusory correlations, cognitive dissonance, social categorization and stereotypes. Smith and DeCoster [28] recently proposed a recurrent connectionist model of person perception and stereotyping that accounts for a number of phenomena usually seen as contradictory or difficult to integrate into a single coherent conceptual framework. While their model is based on clearly defined and potentially far–reaching theoretical principles, it nonetheless suffers from certain shortcomings, among them, the use of misleading dependent measures and the incapacity of the network to develop its own internal representations. We propose an alternative connectionist model – an autoencoder – to overcome these limitations. In particular, the development of stereotypes within the context of this model will be discussed.

Keywords

Hide Layer Social Cognition Cognitive Dissonance Error Score Connectionist Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Andersen, S., & Cole, S. (1990). ‘Do I know you ?‘: The role of significant others in general perception. JPSP, 59, 384–399.Google Scholar
  2. 2.
    Ans, B., & Rousset, S. (1997). Avoiding catastrophic forgetting by coupling two reverberating neural networks. Academie des Sciences de la vie, 320, 989–997.Google Scholar
  3. 3.
    Brewer, M. (1988). A dual process model of impression formation. In T. Srull & R. Wyer (Eds.), Advances in social cognition, Vol. 1 (pp. 1–36). Hillsdale, NJ: LEA.Google Scholar
  4. 4.
    Buhmann, J., Divko, R., & Schulten, K. (1989). Associative memory with high information content. Physical Review A, 39, 2689–2692.MathSciNetCrossRefGoogle Scholar
  5. 5.
    Devine, P. (1989). Stereotypes and prejudice: Their automatic and controlled components. JPSP, 56, 5–18.Google Scholar
  6. 6.
    Dijksterhuis, A., & van Knippenberg, A. (1999). On the parameters of associative strength: Central tendency and variability as determinants of stereotype accessibility. Personality and Social Psychology Bulletin, 25, 527–536.Google Scholar
  7. 7.
    Fielder, K. (2000). Illusory correlations: A simple associative algorithm provides a convergent account of seemingly divergent phenomena. Review of General Psychology, 4, 25–58.CrossRefGoogle Scholar
  8. 8.
    Fiske, S., & Neuberg, S. (1990). A continuum of impression formation, from category–based to individuating processes. Advances in Exp. Social Psychology, 23, 1–74.CrossRefGoogle Scholar
  9. 9.
    Fiske, S., & Taylor, S. (1991). Social cognition (2nd edition). New York: McGraw Hill.Google Scholar
  10. 10.
    French, R. (1997). Pseudo–recurrent connectionist networks: An approach to the’ sensitivity–stability’ dilemma. Connection Science, 9,353–379.CrossRefGoogle Scholar
  11. 11.
    Gilbert, D., Fiske, S., & Lindzey, G. (Eds.) (1998). Handbook of social psychology (4th edition). Boston, MA: McGraw–Hill.Google Scholar
  12. 12.
    Greenwald, A. & Banaji, M. (1995). Implicit social cognition: Attitudes, self–esteem, and stereotypes. Psychological Review, 102, 4–27.CrossRefGoogle Scholar
  13. 13.
    Grossberg, S. (1982) Studies of Mind and Brain: Neural Principles of Learning, Perception, Development, Cognition, and Motor Control. Boston: ReidelCrossRefGoogle Scholar
  14. 14.
    Hamilton, D., & Sherman, J. (1994). Stereotypes. In R. Wyer, & T. Srull (Eds.), Handbook of social cognition (2nd edition, Vol. 2, pp. 1–68). Hillsdale, NJ: LEA.Google Scholar
  15. 15.
    Hertz, J. (1995). Computing with attractors. In M. Arbib (Ed.), Handbook of brain theory and neural networks (pp. 230–234). Cambridge, MA: MIT Press.Google Scholar
  16. 16.
    Kashima, Y., Woolcock, J., & Kashima, E. (2000). Group impressions as dynamic configurations: The tensor product model of group impression formation and change. Psychological Review, 107, 914–942.CrossRefGoogle Scholar
  17. l7.
    Kunda, Z., & Thagard, P. (1996). Forming impressions from stereotypes, traits, and behaviors: A parallelconstraint–satisfaction theory. Psychological Review, 103, 284–308.CrossRefGoogle Scholar
  18. 18.
    Lewicki, P. (1985). Nonconscious biasing effects of single instances on subsequent judgments. JPSP, 48, 563–574.Google Scholar
  19. 19.
    Mareschal, D., & French, R. (1997). A connectionist account of interference effects in early infant memory and categorization. In Proceedings of the 19th Annual Cognitive Science Society Conference (pp. 484–489), Hillsdale, NJ: LEA.Google Scholar
  20. 20.
    McClelland, J., & Rumelhart, D. (1986). A distributed model of human learning and memory. In J. McClelland, & D. Rumelhart (Eds.). Parallel Distributed Processing (Vol. 2, pp. l70–2l5). Cambridge, MA: MIT Press.Google Scholar
  21. 21.
    Ratcliff, R. (1990). Connectionist models of recognition memory: Constraints imposed by learning and forgetting functions. Psychological Review, 97, 285–308.CrossRefGoogle Scholar
  22. 22.
    Read, S., & Montoya, J. (1999). An autoassociative model of causal reasoning and causal learning: reply to Van Overwalle’s (1998) critique of Read and Marcus–Newhall (1993). JPSP, 76, 728–742.Google Scholar
  23. 23.
    Read, S., & Miller, L. (Eds.) (1998). Connectionist models of social reasoning and social behavior. Hillsdale, NJ: LEA.Google Scholar
  24. 24.
    Sherman, J. (1996). Development and mental representations of stereotypes. JPSP, 70, 1126–1141.Google Scholar
  25. 25.
    Sherman, J., & Klein, S. (1994). The development and representations of personality impressions. JPSP, 67, 972–983.Google Scholar
  26. 26.
    Shultz, T., & Lepper, M. (1996). Cognitive dissonance reduction as constraint satisfaction. Psychological Review, 103, 219–240.CrossRefGoogle Scholar
  27. 27.
    Smith, E. (1996). What do connectionism and social psychology offer each other? JPSP, 70, 893–912.Google Scholar
  28. 28.
    Smith, E., & DeCoster, J. (1998). Knowledge acquisition, accessibility, and use in person perception and stereotyping: Simulation with a recurrent connectionist network. JPSP, 74, 21–35.Google Scholar
  29. 29.
    Van Overwalle, F. (1998). Causal explanation as constraint satisfaction: A critique and a feedforward connectionist alternative. JPSP, 74, 312–328.Google Scholar
  30. 30.
    Van Overwalle, F. (submitted). A feedforward connectionist model of cognitive dissonance: An alternative to Shultz and Lepper (1996).Google Scholar

Copyright information

© Springer-Verlag London 2001

Authors and Affiliations

  • Christophe L. Labiouse
  • Robert M. French

There are no affiliations available

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