DocumentCode
317949
Title
Human-computer cooperation for building controller
Author
Shiraz, G.M.
Author_Institution
Sch. of Comput. Sci. & Eng., New South Wales Univ., Sydney, NSW, Australia
Volume
2
fYear
1997
fDate
12-15 Oct 1997
Firstpage
1039
Abstract
This paper proposes an interactive method called Parvaz, in which the expert and a learning program cooperate with each other to create a controller for dynamic systems. This method has been demonstrated for the skill of flying an aircraft in a flight simulator. Dynamic ripple down rules (DRDR) have been developed for those parts of the system where it is possible for the pilot to verbalise his or her control strategy. For those parts of the flight where it is difficult or impossible for the pilot to formulate his or her strategy, learning dynamic ripple down rules (LDRDR) has been developed to automatically produce rules from the logged data of the expert´s behaviour. Parvaz has been tested using three volunteers. All the subjects were successful in creating a set of rules that can fly the aircraft through a given flight plan
Keywords
aerospace simulation; aircraft control; control system CAD; knowledge acquisition; learning (artificial intelligence); learning systems; Parvaz; aircraft; dynamic ripple down rules; dynamic systems; flight simulator; human-computer cooperation; interactive method; learning program; Aircraft; Australia; Automatic control; Cloning; Computer science; Control systems; Cranes; Humans; Knowledge acquisition; Machine learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location
Orlando, FL
ISSN
1062-922X
Print_ISBN
0-7803-4053-1
Type
conf
DOI
10.1109/ICSMC.1997.638085
Filename
638085
Link To Document