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An intelligent training system for space shuttle flight controllersAn autonomous intelligent training system which integrates expert system technology with training/teaching methodologies is described. The system was designed to train Mission Control Center (MCC) Flight Dynamics Officers (FDOs) to deploy a certain type of satellite from the Space Shuttle. The Payload-assist module Deploys/Intelligent Computer-Aided Training (PD/ICAT) system consists of five components: a user interface, a domain expert, a training session manager, a trainee model, and a training scenario generator. The interface provides the trainee with information of the characteristics of the current training session and with on-line help. The domain expert (DeplEx for Deploy Expert) contains the rules and procedural knowledge needed by the FDO to carry out the satellite deploy. The DeplEx also contains mal-rules which permit the identification and diagnosis of common errors made by the trainee. The training session manager (TSM) examines the actions of the trainee and compares them with the actions of DeplEx in order to determine appropriate responses. A trainee model is developed for each individual using the system. The model includes a history of the trainee's interactions with the training system and provides evaluative data on the trainee's current skill level. A training scenario generator (TSG) designs appropriate training exercises for each trainee based on the trainee model and the training goals. All of the expert system components of PD/ICAT communicate via a common blackboard. The PD/ICAT is currently being tested. Ultimately, this project will serve as a vehicle for developing a general architecture for intelligent training systems together with a software environment for creating such systems.
Document ID
19880020947
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Loftin, R. Bowen
(Houston Univ. TX., United States)
Wang, Lui
(NASA Lyndon B. Johnson Space Center Houston, TX., United States)
Baffes, Paul
(NASA Lyndon B. Johnson Space Center Houston, TX., United States)
Hua, Grace
(Computer Sciences Corp. Houston, Tex., United States)
Date Acquired
September 5, 2013
Publication Date
August 1, 1988
Publication Information
Publication: NASA, Goddard Space Flight Center, The 1988 Goddard Conference on Space Applications of Artificial Intelligence
Subject Category
Cybernetics
Accession Number
88N30331
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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