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Identifying tacit strategies in aircraft maneuversTwo machine-learning methods are presently used to characterize the avoidance strategies used by skilled pilots in simulated aircraft encounters, and a general framework for the characterization of the strategic components of skilled behavior via qualitative representation of situations and responses is presented. Descriptions of pilot maneuvers that were 'conceptually equivalent' were ascertained by a concept-learning algorithm in conjunction with a classifier system that employed a generic algorithm; satisficing and 'buggy' strategies were thereby revealed.
Document ID
19920061343
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Lewis, Charles M.
(NASA Ames Research Center Moffett Field, CA, United States)
Heidorn, P. B.
(Pittsburgh, University PA, United States)
Date Acquired
August 15, 2013
Publication Date
December 1, 1991
Publication Information
Publication: IEEE Transactions on Systems, Man, and Cybernetics
Volume: 21
Issue: 6
ISSN: 0018-9472
Subject Category
Behavioral Sciences
Accession Number
92A43967
Funding Number(s)
CONTRACT_GRANT: NAG2-123
Distribution Limits
Public
Copyright
Other

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