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Developing Knowledge about Living Things: A Connectionist Investigation

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Connectionist Models of Learning, Development and Evolution

Part of the book series: Perspectives in Neural Computing ((PERSPECT.NEURAL))

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Abstract

This paper describes empirical work and connectionist investigation of the featural basis of children’s knowledge about living things. The empirical data shows differences in the rate at which children acquire subcategories of living things, differences in the timing of changes in knowledge organisation, and changes in the distribution of feature types children use to represent their knowledge. The connectionist model was developed to investigate the role of feature based representations in determining the organisation of knowledge during childhood, and to investigate the possible mechanisms involved in organisational change. The model was trained to associate living thing concepts with their associated features, using a data set derived from studies of children’s featural representations. Analysis showed that a pattern of knowledge organisation strikingly similar to that derived from studies of children’s category fluency and sorting behaviour developed in the model. The results inform on how the featural knowledge base may affect the structure of children’s knowledge and performance on tasks drawing upon this knowledge.

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References

  1. Barrett, S., Abdi, H., Murphy, G.L. & McCarthy Gallagher, J. (1993). Theory-based correlations and their role in children’s concepts. Child Development. 64, 1595–1616.

    Article  Google Scholar 

  2. Carey, S. (1985). Conceptual Change in Childhood. Cambridge, MA, Bradford Books/MIT Press.

    Google Scholar 

  3. Collins, AM. and Loftus, EF. (1975). A spreading activation theory of semantic processing. Psychological Review, 82. 407–428

    Article  Google Scholar 

  4. Corter, J.E. (1998). An efficient metric combinatorial algorithm for fitting additive trees. Multivariate Behavioral Research, 33(2). 249–272

    Article  Google Scholar 

  5. Elman, JL. (1993). Learning and development in neural networks — the importance of starting small. Cognition. 48, 71–99.

    Article  Google Scholar 

  6. Grube, D., & Hasselhorn, M. (1996). Children’s freelisting of animal terms: Developmental changes in activation of categorical knowledge. Zeitschrift fur Psychologie, 204. 119–134.

    Google Scholar 

  7. Harley, T. A. (1998). The semantic deficit in dementia: connectionist approaches to what goes wrong in picture naming. Aphasiology. 12. 299–318.

    Article  Google Scholar 

  8. Hartley SJ & Prescott TJ. (Submitted). Continuity and change in the development of knowledge structure: insights from category fluency. Submitted manuscript.

    Google Scholar 

  9. Hartley, S. J. (1999). The Development of conceptual knowledge: Connectionist and experimental insights. Unpublished PhD. Thesis submitted to The University of Sheffield, UK.

    Google Scholar 

  10. Hartley, S. J., Prescott, T. J. & Nicolson, R.I. (1999). Feature Distributions and Experimental Evaluation in Connectionist Models of Semantic Memory. In D. Heinke, G. W. Humphreys & A. Olson. (Eds.) Connectionist models in cognitive neuroscience: the 5th Neural Computation and Psychology Workshop. London, Springer Verlag.

    Google Scholar 

  11. Hartley, S.J., Prescott, T.J. & Nicolson, R. (1998). Experimental and Connectionist Perspectives on Semantic Memory Development. In Proceedings of the Twentieth Annual Cognitive Science Conference, M.A. Gernsacher and S.J. Derry, Eds. Mahwah: Lawrence Erlbaum.

    Google Scholar 

  12. Jarrold, C., Hartley, S.J., Phillips, C. & Baddeley, A.D. (2000). Word fluency in Williams syndrome: Evidence for unusual semantic organisation? Cognitive Neuropsychiatry. 5.

    Google Scholar 

  13. Keil FC. (1994). Explanation, association and the acquisition ofword meaning. Lingua. 92. 169–196.

    Article  Google Scholar 

  14. Keil, F. C. (1989). Concepts, kinds and cognitive development. Cambridge, MA, MIT Press.

    Google Scholar 

  15. Keil, F. C., Smith, W. C., Simons, D.J., & Levins, D.T. (1998). Two dogmas of conceptual empiricism: implications for hybrid models of the structure of knowledge. Cognition.65. 103–135.

    Article  Google Scholar 

  16. Mandler, J. M. (1997). Development of catgorisation: Perceptual and conceptual categories. In G. Bremner, A. Slater and G. Butterworth. (Eds) Infant Development: Recent Advances. Hove, Psychology Press.

    Google Scholar 

  17. McClelland, J. L., & McNaughton, B. L. (1995). Why there are complementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory. Psychological Review. 102.419–457.

    Article  Google Scholar 

  18. McRae, K., de Sa, V. R., & Seidenberg, M.S. (1997). On the nature and scope of featural representations of word meaning. Journal of Experimental Psychology: General, 126, 99–130.

    Article  Google Scholar 

  19. Morrison, C. M., Chappell, T. D., & Ellis, A.W. (1997). Age of acquisition norms for a large set of object names and their relation to adult estimates and other variables. Quarterly Journal of Experimental Psychology Section aÒHuman Experimental Psychology, 50, 528–559

    Article  Google Scholar 

  20. Rosch E., & Mervis, C.B. (1975). Family resemblances: studies in the internal structure of categories. Cognitive Psychology, 7, 573–605

    Article  Google Scholar 

  21. Snodgrass, J. G., & Vanderwart, M. A. (1980). Standardised set of 260 pictures: Norms for name agreement, image agreement, familiarity and visual complexity. Journal of Experimental Psychology: Human Learning and Memory, 6, 174–215

    Article  Google Scholar 

  22. Storm, C. (1980). The semantic structure of animal terms — a developmental study. International Journal of Behavioural Development, 3, 381–407.

    Google Scholar 

  23. Younger, B., & Mekos, D. (1992). Category construction in preschool-aged children: The use of correlated attributes. Cognitive Development, 7, 445–466

    Article  Google Scholar 

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© 2001 Springer-Verlag London

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Hartley, S.J. (2001). Developing Knowledge about Living Things: A Connectionist Investigation. In: French, R.M., Sougné, J.P. (eds) Connectionist Models of Learning, Development and Evolution. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0281-6_10

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  • DOI: https://doi.org/10.1007/978-1-4471-0281-6_10

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-354-6

  • Online ISBN: 978-1-4471-0281-6

  • eBook Packages: Springer Book Archive

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