OCA (Offensive Counter Air) Mission Planning.

Abstract

In Phase I we have determined that existing decision analysis, artificial intelligence and operations research planning aids can be integrated in a research environment to provide a significant capability for addressing the overall hierarchical planning of tactical fighter air to ground missions. The aids selected during Phase I each address a different level of the offensive counter air (OCA) mission planning process: (1) Target Prioritization Aid (TPA) supports the user in determining the best enemy airfields to attack, given the number of friendly fighter bombers available; (2) KNOBS (knowldege based system) provides an interactive capability for assigning aircraft and ordnance to each target in turn, and (3) Route Planning Air (RPA) provides for finding a nearly optimal route to the target, with respect to survival of the fighter. An architecture has been designed to incorporate these three kernel aids within an integrated planning tool. As part of this design effort, we have produced a theory of hierarchical software systems and derived a body of design principles. Additional keywords: Air Force planning. (Author).

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1984
Accession Number
ADA150572

Entities

People

  • C. O'reilly
  • G. Courand
  • J. R. Payne

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Air Defense
  • Air Force Facilities
  • Aircrafts
  • Artificial Intelligence
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Databases
  • Expert Systems
  • Human-Machine Interfaces
  • Knowledge Based Systems
  • Munitions
  • Operating Systems
  • Operations Research
  • Organizational Structure
  • Warfare

Fields of Study

  • Engineering

Readers

  • Aerospace Engineering
  • Military History / Militaries and War Studies
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy