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Using C to build a satellite scheduling expert system: Examples from the Explorer platform planning systemRecently, many expert systems were developed in a LISP environment and then ported to the real world C environment before the final system is delivered. This situation may require that the entire system be completely rewritten in C and may actually result in a system which is put together as quickly as possible with little regard for maintainability and further evolution. With the introduction of high performance UNIX and X-windows based workstations, a great deal of the advantages of developing a first system in the LISP environment have become questionable. A C-based AI development effort is described which is based on a software tools approach with emphasis on reusability and maintainability of code. The discussion starts with simple examples of how list processing can easily be implemented in C and then proceeds to the implementations of frames and objects which use dynamic memory allocation. The implementation of procedures which use depth first search, constraint propagation, context switching and a blackboard-like simulation environment are described. Techniques for managing the complexity of C-based AI software are noted, especially the object-oriented techniques of data encapsulation and incremental development. Finally, all these concepts are put together by describing the components of planning software called the Planning And Resource Reasoning (PARR) shell. This shell was successfully utilized for scheduling services of the Tracking and Data Relay Satellite System for the Earth Radiation Budget Satellite since May 1987 and will be used for operations scheduling of the Explorer Platform in November 1991.
Document ID
19910013461
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Mclean, David R.
(Bendix Field Engineering Corp. Greenbelt, MD., United States)
Tuchman, Alan
(Bendix Field Engineering Corp. Greenbelt, MD., United States)
Potter, William J.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
September 6, 2013
Publication Date
May 1, 1991
Publication Information
Publication: The 1991 Goddard Conference on Space Applications of Artificial Intelligence
Subject Category
Cybernetics
Accession Number
91N22774
Funding Number(s)
CONTRACT_GRANT: NAS5-31000
CONTRACT_GRANT: NAS5-27772
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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