A MODEL OF CONCEPT LEARNING

Abstract

A learning program designated CE, Concept-EPAM, is described that modifies EPAM through the introduction of a set membership relation. The effects of this extension are considered with respect to methods of storing concept descriptions in memory and methods of specifying learning and retrieval. The learning strategies consist of interactions between image elaboration and tree modification. Implementations of CE are considered for a concept learning task and a pair associate task. Applicability of CE to a geometry analogy task requiring relational concepts is discussed. The relationship between the learning of concepts of concepts and feature extraction is illustrated.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1968
Accession Number
AD0676294

Entities

People

  • Richard H. Sherman

Organizations

  • Case Western Reserve University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Alphabets
  • Application Software
  • Classification
  • Coding
  • Computer Programming
  • Computer Programs
  • Computers
  • Digital Computers
  • Discrimination
  • Executives
  • Feature Extraction
  • Geometry
  • Information Processing
  • Language
  • Observation
  • Trees (Data Structures)

Readers

  • Artificial Intelligence
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval