Rule Based Systems.

Abstract

This research activity examines the current state of the art in Modeling the command decision process and implementing such models in software. The primary and initial target application is in automated command agents for DIS/ADS. This report was prepared for the Command Decision Modeling ADST II Delivery Order in accordance with the following documents: (a) Command Decision Modeling Overview (ADST-II-CDRL-023A-9600236) (b) Functional Description of a Command Agent (ADST-II-CDRL-023A-9600237) (c) Rule Based Systems (ADST-II-CDRL-023A-9600238) (d) Genetic Algorithms and Evolutionary Programming (ADST-II-CDRL-023A-9600239) (e) Petri Nets and Colored Petri Nets (ADST-II-CDRL-023A-9600240) (f) Neural Networks and Bounded Neural Networks (ADST-II-CDRL-023A-960024l) (g) Case-Based Reasoning (ADST-II-CDRL-023A-9600242)

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Document Details

Document Type
Technical Report
Publication Date
Jan 10, 1997
Accession Number
ADA324289

Entities

Organizations

  • Lockheed Martin Information Systems & Global Solutions

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Command And Control
  • Computational Science
  • Computer Programming
  • Control Systems
  • Doctrine
  • Expert Systems
  • Identification
  • Information Systems
  • Instruction Set Architecture
  • Intelligent Agents
  • Neural Networks
  • Reasoning
  • Recognition
  • Rule Based Systems
  • Simulations

Readers

  • Artificial Intelligence
  • Joint Military Operations and Doctrine.
  • Software Engineering.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms
  • Biotechnology