Categorization by humans and machines /

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 esse...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Nakamura, Glenn V. (Editor ), Medin, Douglas L. (Editor ), Taraban, Roman (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Diego : Academic Press, �1993.
Colección:Psychology of learning and motivation ; v. 29.
Temas:
Categorization (Psychology)
Classification.
Learning.
Artificial intelligence.
Cognition.
Classification
Learning
Artificial Intelligence
Cognition
Cat�egorisation (Psychologie)
Apprentissage.
Intelligence artificielle.
classification (information handling function)
artificial intelligence.
cognition.
SCIENCE > Cognitive Science.
PSYCHOLOGY > Cognitive Psychology.
Kategorisierung
Mensch
Computer
Classificatie.
Machine-learning.
Aufsatzsammlung.
Acceso en línea:Texto completo
Texto completo
Tabla de Contenidos:
  • 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.

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