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Record 13 of 709
Blackboard architectures and their relationship to autonomous space systems
Availability: Go to Request Form
Author and Affiliation:
Thornbrugh, Allison(Martin Marietta Aerospace, Denver, CO, United States)
Abstract: The blackboard architecture provides a powerful paradigm for the autonomy expected in future spaceborne systems, especially SDI and Space Station. Autonomous systems will require skill in both the classic task of information analysis and the newer tasks of decision making, planning and system control. Successful blackboard systems have been built to deal with each of these tasks separately. The blackboard paradigm achieves success in difficult domains through its ability to integrate several uncertain sources of knowledge. In addition to flexible behavior during autonomous operation, the system must also be capable of incrementally growing from semiautonomy to full autonomy. The blackboard structure allows this development. The blackboard's ability to handle error, its flexible execution, and variants of this paradigm are discussed as they apply to specific problems of the space environment.
Publication Date: Aug 01, 1988
Document ID:
19880020030
(Acquired Nov 04, 1995)
Accession Number: 88N29414
Subject Category: CYBERNETICS
Document Type: Conference Paper
Publication Information: NASA, Marshall Space Flight Center, Second Conference on Artificial Intelligence for Space Applications; p. p 583-589
Publisher Information: United States
Financial Sponsor: NASA; United States
Organization Source: Martin Marietta Aerospace; Denver, CO, United States
Description: 7p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright; Distribution as joint owner in the copyright
NASA Terms: ARCHITECTURE (COMPUTERS); AUTONOMY; CONTROL SYSTEMS DESIGN; MISSION PLANNING; RELIABILITY ENGINEERING; DECISION MAKING; RESOURCE ALLOCATION; RESOURCES MANAGEMENT; SYSTEMS ENGINEERING
Imprint And Other Notes: In NASA, Marshall Space Flight Center, Second Conference on Artificial Intelligence for Space Applications p 583-589 (SEE N88-29351 23-61)
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