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: Foundations of Knowledge Acquisition: Cognitive Models of Complex Learning
  name:
    name part: Chipman, Susan.
    role:
      role term: creator
  name:
    name part: Meyrowitz, Alan L.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: mau
    date issued: 1993
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (xi, 339 pages)
  abstract: The two volumes of Foundations of Knowledge Acquisition document the recent progress of basic research in knowledge acquisition sponsored by the Office of Naval Research. This volume is subtitled Cognitive Models of Complex Learning, and there is a companion volume, subtitles Machine Learning. Funding was provided by a five-year Accelerated Research Initiative (ARI), and made possible significant advances in the scientific understanding of how machines and humans can acquire new knowledge so as to exhibit improved problem-solving behavior. Knowledge acquisition, as persued under the ARI, was a coordinated research thrust into both machine learning and the human learning. Chapters in Cognitive Models of Complex Learning thus include summaries of work by cognitive scientists who do computational modeling of human learning. In fact, an accomplishment of research previously sponsored by ONR's Cognitive Science Program gave insight into the knowledge and skills that distinguish human novices from human experts in various domains; the cognitive interest in the ARI was then to characterize how the transition form novice to expert actually takes place. Chapters particularly relevant to that concern are those written by Anderson, Kieras, Marshall, Ohlsson, and VanLehn. Significant progress in machine learning is reported along in a variety of fronts in the companion volume, Machine Learning, also published by Kluwer Academic Publishers. Included is work in analogical reasoning; induction and discovery; explanation-based learning; learning by competition, using genetic algorithms; learning within natural language systems; theoretical limitations, learning in Soar, a proposed general architecture for intelligent systems; and case-based reasoning. These volumes of Foundations of Knowledge Acquisition are excellent reference sources by bringing together descriptions of recent and ongoing research at the forefront of progress in one the most challenging arenas of artificial intel…
  note: edited by Susan Chipman, Alan L. Meyrowitz.
  note: Electronic resource.
  subject:
    topic: Computer science
  subject:
    topic: Artificial intelligence
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer science
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: International series in engineering and computer science ; 194
  identifier: 9781461531722 (electronic bk.)
  identifier: 1461531721 (electronic bk.)
  identifier: 9781461363903
  identifier: 146136390X
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: AU@
    record creation date: 121227
    record change date: 20260422200656.0
    record identifier: in00003558326
    language of cataloging:
      language term: eng