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Thursday, November 5, 2020 | History

3 edition of TATR--a prototype expert system for tactical air targeting found in the catalog.

TATR--a prototype expert system for tactical air targeting

Monti Callero

TATR--a prototype expert system for tactical air targeting

  • 171 Want to read
  • 2 Currently reading

Published by Rand in Santa Monica, CA .
Written in English

    Subjects:
  • TATR.

  • Edition Notes

    Other titlesT.A.T.R.--a prototype expert system for tactical air targeting.
    StatementMonti Callero, Donald A. Waterman, James R. Kipps ; prepared for the Defense Advanced Research Projects Agency.
    ContributionsWaterman, D. A. 1936-, Kipps, James R. 1960-, United States. Defense Advanced Research Projects Agency.
    Classifications
    LC ClassificationsUG703 .C35 1984
    The Physical Object
    Paginationix, 78, [1] p. :
    Number of Pages78
    ID Numbers
    Open LibraryOL2844878M
    ISBN 100833005588
    LC Control Number84006925

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TATR--a prototype expert system for tactical air targeting by Monti Callero Download PDF EPUB FB2

TATR: A Prototype Expert System for Tactical Air Targeting Monti Callero, Donald A. Waterman, James R. Kipps August Prepared for the Defense Advanced Research Projects Agency Rand MAIN STRHT P.O.

BOX SANTA MONICA, CA APPROVED FOR PUBLIC RELEASE: DISTRIBUTION UNLIMITED. Describes a prototype version of the tactical air target recommender (TATR), an "expert system" developed at RAND to help tactical air targeteers select and prioritize airfields and target elements on those air by: Summary: Describes a prototype version of the tactical air target recommender (TATR), an "expert system" developed at RAND to help tactical air targeteers select and prioritize airfields and target elements on those air fields.

Subject Describes a prototype version of the tactical air target recommender (TATR), an "expert system" developed at RAND to help tactical air targeteers select and prioritize airfields and target elements on those air fields.

TATR: A Prototype Expert System for Tactical Air Targeting This report is part of the RAND Corporation note series. The note was a product of the RAND Corporation from to that reported other outputs of sponsored research for general : Monti D.

Callero, Daniel Gorlin, Frederick Hayes-Roth, Lewis Jamison. TATR--a prototype expert system for tactical air targeting Topics: APPROVED FOR PUBLIC RELEASE, DISTRIBUTION UNLIMITED PREFACE. TATR: A Prototype Expert System for Tactical Air Targeting, The RAND Corporation, RARPA.]] Google Scholar; Dahl, O-J.

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Realization of a geometry theorem-proving machine. TATR: A Prototype Expert System for Tactical Air Targeting, Report RARPA, Rand Corporation, June Author: S.

David Hu. Developing expert systems to combat international terrorism 5. Models of legal decision making 6.

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TATR--an expert aid for tactical air targeting. Technologies for optical countermeasures: October,London, United Kingdom. Technologies for optical countermeasures II: September,Bruges, Belgium.

Callero, M., D.A. Waterman, and J.R. Kipps, TATR: A Prototype Expert System for Tactical Air Targeting, The RAND Corporation, RARPA, Cited by: 7. The concepts introduced are illustrated by two examples: an automatic inspection system for circuit packs and an expert system for respiratory and anesthesia monitoring.

The adopted approach differs considerably from the earlier research on the use of neural networks as expert systems, where the only method to obtain knowledge is learning from Cited by: 3. The relation of subsymbolic (neural computing) and symbolic computing has been a topic of intense discussion.

We address some of the drawbacks of current expert system technology and study the possibility of using neural computing principles to improve their competence. In this paper we focus on the problem of using neural networks to implement expert system rule by: 9. 86 European Journal of Operational Research 61 () North-Holland Blackboard metaphor in tactical decision making Sanja Vrane~, Mario Lu~in, Mladen Stanojevi6, Violeta Stevanovi6 and Pero Suba~i6 Computer Systems Department, Institute 'Mihajlo Pupin', Volg Beograd, Yugoslavia Received March ; received September Abstract: The objective of this paper is Cited by: 5.

This article presents a brief history of artificial intelligence research at the Rand Corporation. Rand has long been a leader in the field of AI, beginning with the seminal work of Newell, Shaw, and Simon some thirty years ago, and continues with recent work in expert systems and knowledge-based simulation.

This article traces the major accomplishments in AI at Rand with particular emphasis. This report describes an initial version of TATR (tactical air target recommender), a prototype 'expert system' being developed at Rand to assist tactical air targeteers in selecting and. The present book treats various aspects of radar systems.

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