Spatial Learning and Cognitive Mapping: A Neural Network Approach.

Abstract

Multi-disciplinary research facilities are established for study of spatial search behaviors, combining approaches of experimental animal learning, neural network theory, and robotics engineering. Experimental results have informed neural network designs for spatial landmark learning and reasoning in various tasks of complex search. The neural network theoretical designs, in turn, have been used in the design of semiautonomous robotic devices capable of efficient search.

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Document Details

Document Type
Technical Report
Publication Date
Dec 31, 1995
Accession Number
ADA308344

Entities

People

  • Nestor Schmajuk

Organizations

  • University of South Carolina

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Animal Behavior
  • Animals
  • Computer Science
  • Detectors
  • Education
  • Engineering
  • Laboratory Animals
  • Learning
  • Network Science
  • Neural Networks
  • Psychology
  • Random Walk
  • Research Facilities
  • Robotics
  • Spatial Distribution
  • Students

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks
  • Autonomy
  • Autonomy - Autonomous System Control