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: Categorization by humans and machines
  name:
    name part: Nakamura, Glenn V.
    role:
      role term: editor.
  name:
    name part: Medin, Douglas L.
    role:
      role term: editor.
  name:
    name part: Taraban, Roman
    role:
      role term: editor.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  genre: Aufsatzsammlung.
  origin info:
    place:
      place term: cau
    place:
      place term: San Diego
    publisher: Academic Press
    date issued: ©1993
    date issued: 1993
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xvii, 552 pages) : illustrations
  abstract: The objective of the series has always been to provide a forum in which leading contributors to an area can write about significant bodies of research in which they are involved. The operating procedure has been to invite contributions from interesting, active investigators, and then allow them essentially free rein to present their perspectives on important research problems. The result of such invitations over the past two decades has been collections of papers which consist of thoughtful integrations providing an overview of a particular scientific problem. The series has an excellent tradi.
  table of contents: Introduction : a coupling of disciplines in categorization research / Roman Taraban -- Part I. Models of data-driven category learning and processing -- Models of categorization and category learning / W.K. Estes -- Three principles for models of category learning / John K. Kruschke -- Exemplar models and weighted cue models in category learning / Roman Taraban and Joaquin Marcos Palacios -- The aquisition of categories marked by multiple probalistic cues / Janet L. McDonald -- The evolution of case-based computational approach to knowledge representation, classification, and learning / Ray Bareiss and Brian M. Slator -- Part II. Data-driven and theory-driven processing and processing models -- Integrating theory and data in category learning / Raymond J. Mooney -- Categorization, concept learning, and problem-solving : a unifying view / Douglas Fisher and Jungsoon Park Yoo -- Processing biases, knowledge, and context in category formation / Thomas B. Ward -- Categorization and rule induction in clinical diagnosis and assessment / Gregory H. Mumma -- A rational theory of concepts / Gregory L. Murphy -- Part III. Concepts, category boundaries, and conceptual combination -- Concept structure and category boundaries / Barbara C. Malt -- Non-predicting conceptual combinations / Edward J. Shoben -- Exploring information about concepts by asking questions / Arthur C. Graesser, Mark C. Langston, and William B. Baggett -- Hidden kind classifications / Edward Wilson Averill -- Is cognition categorization? / Timothy J. van Gelder -- What are concepts? Issues of representation and ontology / William F. Brewer.
  note: edited by Glenn V. Nakamura, Roman Taraban and Douglas L. Medin.
  note: Includes bibliographical references and index.
  subject:
    topic: Categorization (Psychology)
  subject:
    topic: Classification
  subject:
    topic: Learning
  subject:
    topic: Artificial intelligence
  subject:
    topic: Cognition
  subject:
    topic: Classification
  subject:
    topic: Learning
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Cognition
  subject:
    topic: Catégorisation (Psychologie)
  subject:
    topic: Classification
  subject:
    topic: Apprentissage
  subject:
    topic: Intelligence artificielle
  subject:
    topic: Cognition
  subject:
    topic: classification (information handling function)
  subject:
    topic: artificial intelligence
  subject:
    topic: cognition
  subject:
    topic: SCIENCE
    topic: Cognitive Science
  subject:
    topic: PSYCHOLOGY
    topic: Cognitive Psychology
  subject:
    topic: Learning
  subject:
    topic: Cognition
  subject:
    topic: Classification
  subject:
    topic: Artificial intelligence
  subject:
    topic: Categorization (Psychology)
  subject:
    topic: Kategorisierung
  subject:
    topic: Mensch
  subject:
    topic: Computer
  subject:
    topic: Classificatie
  subject:
    topic: Machine-learning
  classification: BF445 .C38 1983eb
  classification: 153.2
  classification: W1 PS746U v.29 1993
  classification: BF 445 C3576 1993
  related item:
    title info:
      title: Categorization by humans and machines
    origin info:
      publisher: San Diego : Academic Press, ©1993
    identifier: (OCoLC)28960278
  related item:
    title info:
      title: Psychology of learning and motivation ; v. 29
  identifier: 9780080863801
  identifier: 0080863809
  identifier: 1281514802
  identifier: 9781281514806
  identifier: 0125433298
  identifier: 9780125433297
  identifier: 9780080863801 Ingram Content Group
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 081022
    record change date: 20260326155329.9
    record identifier: in00005735028
    language of cataloging:
      language term: eng