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Title: Integration of symbolic and algorithmic hardware and software for the automation of space station subsystems

Conference ·
OSTI ID:5876735

Traditional expert systems, such as diagnostic and training systems, interact with users only through a keyboard and screen, and are usually symbolic in nature. Expert systems that require access to data bases, complex simulations and real-time instrumentation have both symbolic as well as algorithmic computing needs. These needs could both be met using a general purpose workstation running both symbolic and algorithmic code, or separate, specialized computers networked together. The latter approach was chosen to implement TEXSYS, the thermal expert system, developed by NASA Ames Research Center in conjunction with Johnson Space Center to demonstrate the ability of an expert system to autonomously control the thermal control system of the space station. TEXSYS has been implemented on a Symbolics workstation, and will be linked to a microVAX computer that will control a thermal test bed. This paper will explore the integration options, and present several possible solutions. 8 refs., 3 figs.

Research Organization:
Lawrence Livermore National Lab., CA (USA); National Aeronautics and Space Administration, Houston, TX (USA). Lyndon B. Johnson Space Center; Lockheed Engineering and Management Services Co., Inc., Houston, TX (USA); National Aeronautics and Space Administration, Moffett Field, CA (USA). Ames Research Center
DOE Contract Number:
W-7405-ENG-48
OSTI ID:
5876735
Report Number(s):
UCRL-97570; CONF-871182-1; ON: DE88002386
Resource Relation:
Conference: 3. conference on artificial intelligence for space applications, Huntsville, AL, USA, 2 Nov 1987; Other Information: Portions of this document are illegible in microfiche products
Country of Publication:
United States
Language:
English