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The application of connectionism to query planning/scheduling in intelligent user interfacesIn the mid nineties, the Earth Observing System (EOS) will generate an estimated 10 terabytes of data per day. This enormous amount of data will require the use of sophisticated technologies from real time distributed Artificial Intelligence (AI) and data management. Without regard to the overall problems in distributed AI, efficient models were developed for doing query planning and/or scheduling in intelligent user interfaces that reside in a network environment. Before intelligent query/planning can be done, a model for real time AI planning and/or scheduling must be developed. As Connectionist Models (CM) have shown promise in increasing run times, a connectionist approach to AI planning and/or scheduling is proposed. The solution involves merging a CM rule based system to a general spreading activation model for the generation and selection of plans. The system was implemented in the Rochester Connectionist Simulator and runs on a Sun 3/260.
Document ID
19900012979
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Short, Nicholas, Jr.
(NASA Goddard Space Flight Center Greenbelt, MD., United States)
Shastri, Lokendra
(Pennsylvania Univ. Philadelphia., United States)
Date Acquired
September 6, 2013
Publication Date
May 1, 1990
Publication Information
Publication: The 1990 Goddard Conference on Space Applications of Artificial Intelligence
Subject Category
Cybernetics
Accession Number
90N22295
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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