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    Learning by Pattern Induction

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    File(s)
    TR319.pdf (2.321Mb)
    Date
    1978
    Author
    Zeigler, Stephen F.
    Publisher
    University of Wisconsin-Madison Department of Computer Sciences
    Metadata
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    Abstract
    Human infants are able to accumulate considerable knowledge in their first year of life without having well-developed communications skills. Pattern induction is proposed as a mechanism for accomplishing learning in a precommunication environment, This mechanism acts by detecting and describing regularities in memories of past experiences. Recognizer-predictors, structures having some similarities to productions, are proposed to represent and utilize information gathered by pattern induction. In this paper, recognizer-predictor structures and the process by which pattern induction formulates them are described in the context of MUL, an existing TELOS program modelling infant-like development in a very simple environment.
    Permanent Link
    http://digital.library.wisc.edu/1793/58080
    Citation
    TR319
    Part of
    • CS Technical Reports

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