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  • 1
    Publication Date: 2019-07-13
    Description: In this paper we report our work on a new constraint domain, where variables can take structured values. Earth-science data processing (ESDP) is a planning domain that requires the ability to represent and reason about complex constraints over structured data, such as satellite images. This paper reports on a constraint-based planner for ESDP and similar domains. We discuss our approach for translating a planning problem into a constraint satisfaction problem (CSP) and for representing and reasoning about structured objects and constraints over structures.
    Keywords: Systems Analysis and Operations Research
    Type: 10th International Conference on Principles and Practice of Constraint Programming; Sep 27, 2004 - Oct 01, 2004; Toronto; Canada
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  • 2
    Publication Date: 2019-07-13
    Description: This paper describes a flexible agent-based ecological forecasting system that combines multiple distributed data sources and models to provide near-real-time answers to questions about the state of the Earth system We build on novel techniques in automated constraint-based planning and natural language interfaces to automatically generate data products based on descriptions of the desired data products.
    Keywords: Earth Resources and Remote Sensing
    Type: 4th Annual Earth Science Technology Conference; Jun 22, 2004 - Jun 24, 2004; Palo Alto, CA; United States
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  • 3
    Publication Date: 2019-07-13
    Description: This paper introduces JNET, a novel constraint representation and reasoning framework that supports procedural constraints and constraint attachments, providing a flexible way of integrating the constraint reasoner with a run- time software environment. Attachments in JNET are constraints over arbitrary Java objects, which are defined using Java code, at runtime, with no changes to the JNET source code.
    Keywords: Computer Programming and Software
    Type: Constant Programming 2003; Sep 09, 2003; Kinsale; Ireland
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  • 4
    Publication Date: 2019-07-13
    Description: NASA 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 this vision will require automation not only in the scheduling of the observations but also in the processing of the resulting data. To address this need, we are developing a planner-based agent to automatically generate and execute data-flow programs to produce the requested data products.
    Keywords: Geophysics
    Type: International Symposium on Artificial Intelligence, Robotics and Automation for Space; May 19, 2003 - May 23, 2003; Nara; Japan
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