rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Mechanisms of implicit learning
    sub title: connectionist models of sequence processing
  name:
    name part: Cleeremans, Axel.
    role:
      role term: creator
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: mau
    place:
      place term: Cambridge, Mass
    publisher: MIT Press
    date issued: ©1993
    date issued: 1993
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xii, 227 pages) : illustrations.
  abstract: "What do people learn when they do not know that they are learning? Until recently all of the work in the area of implicit learning focused on empirical questions and methods. In this book, Axel Cleeremans explores unintentional learning from an information-processing perspective. He introduces a theoretical framework that unifies existing data and models on implicit learning, along with a detailed computational model of human performance in sequence-learning situations. The model, based on a simple recurrent network (SRN), is able to predict perfectly the successive elements of sequences generated from finite-state, grammars. Human subjects are shown to exhibit a similar sensitivity to the temporal structure in a series of choice reaction time experiments of increasing complexity; yet their explicit knowledge of the sequence remains limited. Simulation experiments indicate that the SRN model is able to account for these data in great detail. Cleeremans' model is also useful in understanding the effects of a wide range of variables on sequence-learning performance such as attention, the availability of explicit information, or the complexity of the material. Other architectures that process sequential material are considered. These are contrasted with the SRN model, which they sometimes outperform. Considered together, the models show how complex knowledge may emerge through the operation of elementary mechanisms - a key aspect of implicit learning performance."
  note: Axel Cleeremans.
  note: "Axel Cleeremans is a Senior Research Assistant at the National Fund for Scientific Research, Belgium."
  note: "A Bradford book."
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Implicit learning
  subject:
    topic: Connection machines
  subject:
    topic: Artificial intelligence
  subject:
    topic: COGNITIVE SCIENCES/General
  subject:
    topic: COGNITIVE SCIENCES/Psychology/Cognitive Psychology
  classification: QA76.87 .C54 1993eb
  classification: 006.3/3
  identifier: 0585020388
  identifier: 9780585020389
  identifier: 0262032058
  identifier: 9780262032056
  identifier: 0262270471
  identifier: 9780262270472
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: OCoLC-P
    record creation date: 921007
    record change date: 20221121162408.2
    record identifier: in00004601029
    language of cataloging:
      language term: eng