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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
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.
Carey, S. (1985). Conceptual Change in Childhood. Cambridge, MA, Bradford Books/MIT Press.
Collins, AM. and Loftus, EF. (1975). A spreading activation theory of semantic processing. Psychological Review, 82. 407–428
Corter, J.E. (1998). An efficient metric combinatorial algorithm for fitting additive trees. Multivariate Behavioral Research, 33(2). 249–272
Elman, JL. (1993). Learning and development in neural networks — the importance of starting small. Cognition. 48, 71–99.
Grube, D., & Hasselhorn, M. (1996). Children’s freelisting of animal terms: Developmental changes in activation of categorical knowledge. Zeitschrift fur Psychologie, 204. 119–134.
Harley, T. A. (1998). The semantic deficit in dementia: connectionist approaches to what goes wrong in picture naming. Aphasiology. 12. 299–318.
Hartley SJ & Prescott TJ. (Submitted). Continuity and change in the development of knowledge structure: insights from category fluency. Submitted manuscript.
Hartley, S. J. (1999). The Development of conceptual knowledge: Connectionist and experimental insights. Unpublished PhD. Thesis submitted to The University of Sheffield, UK.
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.
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.
Jarrold, C., Hartley, S.J., Phillips, C. & Baddeley, A.D. (2000). Word fluency in Williams syndrome: Evidence for unusual semantic organisation? Cognitive Neuropsychiatry. 5.
Keil FC. (1994). Explanation, association and the acquisition ofword meaning. Lingua. 92. 169–196.
Keil, F. C. (1989). Concepts, kinds and cognitive development. Cambridge, MA, MIT Press.
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.
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.
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.
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.
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
Rosch E., & Mervis, C.B. (1975). Family resemblances: studies in the internal structure of categories. Cognitive Psychology, 7, 573–605
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
Storm, C. (1980). The semantic structure of animal terms — a developmental study. International Journal of Behavioural Development, 3, 381–407.
Younger, B., & Mekos, D. (1992). Category construction in preschool-aged children: The use of correlated attributes. Cognitive Development, 7, 445–466
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag London
About this paper
Cite this paper
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
Download citation
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