Accession Number:

ADP006332

Title:

TACAID - A Knowledge Based System for Tactical Decision Making,

Descriptive Note:

Corporate Author:

BRITISH AEROSPACE AIRCRAFT GROUP PRESTON (UNITED KINGDOM) WARTON DIV

Personal Author(s):

Report Date:

1991-09-01

Pagination or Media Count:

6.0

Abstract:

British Aerospace has long been aware of a possible future requirement to embed Artificial Intelligence technology in its conventional airborne systems, in order to achieve the complete mission system on future fighter aircraft. We have followed a development life cycle of prototyping and evaluation to achieve these aims. The first of these prototypes, which explored the use of AI technology in tactical mission planning in a 1 vs multiple, air to air, BVR combat scenario, has already been presented within the AGARD forum. The second prototype, TACAID, which is discussed in this document, uses an identical scenario to explore the coupling of high level heuristic reasoning with conventional modules that produce optimised steering and firing cues, and enemy and own kill probabilities against selected targets. Our aims were to assess the value of embedded artificial intelligence. TACAID is developed using the tool MUSE, a blackboard based system which possesses many of the generic features used in AI namely 1 Object oriented knowledge representation 2 Object hierarchy 3 Object relations 4 Forward production rules 5 Backward chaining goals 6 Symbolic list manipulation and 7 Knowledge source scheduling.

Subject Categories:

  • Cybernetics
  • Attack and Fighter Aircraft

Distribution Statement:

APPROVED FOR PUBLIC RELEASE