Title :
Testing an Intelligent Landing Signals Officer (LSO) Agent for Conducting Pilot Training in a Helicopter Deck Landing Simulator
Author_Institution :
Dept. of Math. & Comput. Sci., Royal Military Coll. of Canada, Kingston, Ont.
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;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614598
