Abstract
After a brief flourish in the decade 1979–1989, the study of learning has once again stalled. The main method for theorizing about learning-symbolic computer simulation-is plagued by serious difficulties. Abstract computer models, i. e., models that capture the structural features of cognitive processes while ignoring their content, overcome those difficulties. An example of abstract modeling is discussed and a research agenda outlined.
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Ohlsson, S., Jewett, J.J. (1995). Abstract computer models: Towards a new method for theorizing about adaptive agents. In: Lavrac, N., Wrobel, S. (eds) Machine Learning: ECML-95. ECML 1995. Lecture Notes in Computer Science, vol 912. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59286-5_48
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DOI: https://doi.org/10.1007/3-540-59286-5_48
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