The evaluation of air-to-air combat situations by Navy fighter pilots with artificial intelligence applications.
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Authors
Levin, Kenneth
Subjects
air-to-air combat
artificial intelligence
evaluation techniques
decision making
naval aviator
fighter pilot
self analyzing programs
self modifying programs
flight instruction
artificial intelligence
evaluation techniques
decision making
naval aviator
fighter pilot
self analyzing programs
self modifying programs
flight instruction
Advisors
Elster, Richard S.
Date of Issue
1972-06
Date
June 1972
Publisher
Language
en_US
Abstract
The evaluations mode by 36 Navy fighter pilots of 64 air-to-air
combat situations are statistically analyzed to detect any significant
differences between pilots' evaluative techniques in relation to their
rank, flight hours and combat missions. Predictor equations are computed
and used in a self-analyzing, self -modifying artificial intelligence
program modeled on an instructor-flight student interactive situation.
Type
Thesis
Description
Series/Report No
Department
Operations Research and Administrative Sciences
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funding
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.