DocumentCode
1563266
Title
Testing an Intelligent Landing Signals Officer (LSO) Agent for Conducting Pilot Training in a Helicopter Deck Landing Simulator
Author
Liang, Yawei
Author_Institution
Dept. of Math. & Comput. Sci., Royal Military Coll. of Canada, Kingston, Ont.
Volume
1
fYear
2005
Firstpage
204
Lastpage
207
Abstract
Using techniques from user modeling, fuzzy logic and intelligent agents, two intelligent agent models of landing signals officer (LSO) were built at the Royal Military College of Canada: the constructive LSO and SALSA (a self-adaptive landing signals agent). This paper discusses how to test an LSO model when human pilots are available and unavailable
Keywords
aircraft testing; helicopters; multi-agent systems; Royal Military College of Canada; helicopter deck landing simulator; intelligent agent models; intelligent landing signals officer agent; pilot training; self-adaptive landing signals agent; Automatic testing; Educational institutions; Fuzzy logic; Helicopters; Humans; Intelligent agent; Marine vehicles; Military aircraft; Prototypes; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9422-4
Type
conf
DOI
10.1109/ICNNB.2005.1614598
Filename
1614598
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