Representing Conceptual Structures in a Neural Network

Abstract

DUCS is an experimental multi-level architecture that provides a distributed representation for frame-like concept structures. The ultimate goal of this research is to develop a powerful short term memory that can construct and manipulate concepts rapidly. Such a memory could plan an important role in neural network models of higher level cognitive phenomena such as language understanding or problem solving. Keywords: Artificial intelligence, Machine learning, Connectionism, Short-term memory, Distributed representation, Frames.

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Document Details

Document Type
Technical Report
Publication Date
Sep 29, 1987
Accession Number
ADA218970

Entities

People

  • David S. Touretzky

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Automata Theory
  • Classification
  • Computer Languages
  • Computer Science
  • Computers
  • Content Addressable Memory
  • Language
  • Machine Learning
  • Network Science
  • Neural Networks
  • Universities

Readers

  • Artificial Intelligence

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks