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Knoblock, Craig
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Intelligent systems for geosciences: an essential research agenda
Gil Y., Pierce S., Babaie H., Banerjee A., Borne K., Bust G., Cheatham M., Ebert-Uphoff I., Gomes C., Hill M., Horel J., Hsu L., Kinter J., Knoblock C., Krum D., Kumar V., Lermusiaux P., Liu Y., North C., Pankratius V., Peters S., Plale B., Pope A., Ravela S., Restrepo J., Ridley A., Samet H., Shekhar S. Communications of the ACM 62(1): 76-84, 2019. Type: Article
This article, by 28 authors from as many institutions, announces the creation of, and research agenda for, a new National Science Foundation (NSF)-funded Research Coordination Network on Intelligent Systems for Geosciences. The goal of...
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Mar 28 2019
Planning as refinement search
Kambhampati S., Knoblock C., Yang Q. Artificial Intelligence 76(1-2): 167-238, 1995. Type: Article
A unified approach for examining the various tradeoffs in partial-order planning is provided. Essential to this process is a unified representation and semantics for partial-order planning in terms of refinement search. The authors sho...
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Sep 1 1996
Automatically generating abstractions for planning
Knoblock C. Artificial Intelligence 68(2): 243-302, 1994. Type: Article
A formal description of a problem can be abstracted by dropping literals from the language of the problem. A solution to the abstraction may be refined into one for the original problem. Unfortunately, one cannot guarantee that the cho...
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Sep 1 1995
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