TAC-1: A Knowledge-Based Air Force Tactical Battle Management Testbed.

Abstract

This report describes the framework for, and a demonstration vehicle of, a knowledge-based testbed for integrating multiple artificial intelligence systems into a distributed processing network for purposes for evaluation and exploitation. TAC-1 is a version of the testbed applied to the domain of Air Force tactical battle management. The domain-independent framework includes a centralized control subnet, including a message router and a common protocol language for message passing among component systems. A Common Database and a Common Knowledge Base are essential components of the testbed. The Router directs data queries to the Common Database (one of the hosted systems) and, through the use of a Common Knowledge Base, directs service requests to the systems which can handle them. Keywords: Knowledge based systems, Distributed artificial intelligence, Cooperating knowledge based systems, Knowledge based tactical battle management. (sdw)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1988
Accession Number
ADA195520

Entities

People

  • Richard O. Nugent
  • Richard W. Tucker

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Battle Management
  • Command And Control
  • Computer Languages
  • Computer Programming
  • Computers
  • Database Management Systems
  • Databases
  • Language
  • Lisp Programming Language
  • Object Oriented Programming
  • Programming Languages
  • Relational Database Management Systems
  • Relational Databases
  • Software Development
  • Software Prototyping

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Software Engineering.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Information Retrieval