Intelligent Systems for Aerospace Engineering - An Overview

Abstract

Intelligent systems are nature-inspired, mathematically sound, computationally intensive problem solving tools and methodologies that have become extremely important for advancing the current trends in information technology. Artificially intelligent systems currently utilize computers to emulate various faculties of human intelligence and biological metaphors. They use a combination of symbolic and sub-symbolic systems capable of evolving human cognitive skills and intelligence, not just systems capable of doing things humans do not do well. Intelligent systems are ideally suited for tasks such as search and optimization, pattern recognition and matching, planning, uncertainty management, control, and adaptation. In this paper, the intelligent system technologies and their application potential are highlighted via several examples.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2003
Accession Number
ADA484100

Entities

People

  • K. Krishnakumar

Organizations

  • National Aeronautics and Space Administration

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aerodynamic Control Surfaces
  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Automata Theory
  • Cognitive Science
  • Computational Complexity
  • Computer Programming
  • Computer Science
  • Computers
  • Control Surfaces
  • Engineering
  • Genetic Algorithms
  • Information Systems
  • Intelligent Systems
  • Neural Networks
  • Pattern Recognition

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Distributed Systems and Data Platform Development

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Space