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Automated Data Processing as an AI Planning ProblemNASA s vision for Earth Science is to build a "sensor web"; an adaptive array of heterogeneous satellites and other sensors that will track important events, such as storms, and provide real-time information about the state of the Earth to a wide variety of customers. Achieving his vision will require automation not only in the scheduling of the observations but also in the processing af tee resulting data. Ta address this need, we have developed a planner-based agent to automatically generate and execute data-flow programs to produce the requested data products. Data processing domains are substantially different from other planning domains that have been explored, and this has led us to substantially different choices in terms of representation and algorithms. We discuss some of these differences and discuss the approach we have adopted.
Document ID
20040012773
Acquisition Source
Ames Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Golden, Keith (NASA Ames Research Center Moffett Field, CA, United States)
Pang, Wanlin (QSS Group, Inc. Moffett Field, CA, United States)
Nemani, Ramakrishna (NASA Ames Research Center Moffett Field, CA, United States)
Votava, Petr (California State Univ. Monterey Bay, CA, United States)
Date Acquired
September 7, 2013
Publication Date
January 1, 2003
Subject Category
Instrumentation And Photography
Meeting Information
Meeting: 14th International Conference on Automated Planning and Scheduling
Location: Whistler, British Columbia
Country: Canada
Start Date: June 3, 2004
End Date: June 7, 2004
Distribution Limits
Public
Copyright
Public Use Permitted.

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