Adaptive Memory for Learning Systems.

Abstract

The research carried out under the terminated grant has dealt with models investigating fundamental aspects of learning and perception. Such models provide essential bases for further understanding of machine intelligence in problem solving systems, pattern recognition and robotics. In addition, the models offer a valid means of evaluating human learning and perception such as is certainly required in ongoing development of computer aided instruction, where models of both the learner and the teacher are required. Both of the research projects have provided basic information leading to insights for extensions and adaptation to a spectrum of both fundamental and application-oriented work. Forthcoming publications will describe the work in detail. (Author)

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1971
Accession Number
AD0732976

Entities

People

  • David L. Johnson

Organizations

  • University of Washington

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computer-Aided Instruction
  • Computers
  • Instructions
  • Instructors
  • Learning
  • Pattern Recognition
  • Perception
  • Recognition
  • Robotics
  • Spectra

Fields of Study

  • Computer science

Readers

  • Instructional Design and Training Evaluation.
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • Autonomy