NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Vista goes online: Decision-analytic systems for real-time decision-making in mission controlThe Vista project has centered on the use of decision-theoretic approaches for managing the display of critical information relevant to real-time operations decisions. The Vista-I project originally developed a prototype of these approaches for managing flight control displays in the Space Shuttle Mission Control Center (MCC). The follow-on Vista-II project integrated these approaches in a workstation program which currently is being certified for use in the MCC. To our knowledge, this will be the first application of automated decision-theoretic reasoning techniques for real-time spacecraft operations. We shall describe the development and capabilities of the Vista-II system, and provide an overview of the use of decision-theoretic reasoning techniques to the problems of managing the complexity of flight controller displays. We discuss the relevance of the Vista techniques within the MCC decision-making environment, focusing on the problems of detecting and diagnosing spacecraft electromechanical subsystems component failures with limited information, and the problem of determining what control actions should be taken in high-stakes, time-critical situations in response to a diagnosis performed under uncertainty. Finally, we shall outline our current research directions for follow-on projects.
Document ID
19940030557
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Barry, Matthew
(NASA Lyndon B. Johnson Space Center Houston, TX, United States)
Horvitz, Eric
(NASA Lyndon B. Johnson Space Center Houston, TX, United States)
Ruokangas, Corinne
(NASA Lyndon B. Johnson Space Center Houston, TX, United States)
Srinivas, Sampath
(NASA Lyndon B. Johnson Space Center Houston, TX, United States)
Date Acquired
September 6, 2013
Publication Date
May 1, 1994
Publication Information
Publication: NASA. Goddard Space Flight Center, The 1994 Goddard Conference on Space Applications of Artificial Intelligence
Subject Category
Cybernetics
Accession Number
94N35063
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
No Preview Available