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  • 1
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    Sound and efficient closed-world reasoning for planning (1997)
    Elsevier
    Details
    Publication Date: 1997-01-01
    Print ISSN: 0004-3702
    Electronic ISSN: 1872-7921
    Topics: Computer Science
    Published by Elsevier
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    PAPER CURRENT
  • 2
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    An Ecological Forecasting Agent (2005)
    In:  CASI
    Details
    Publication Date: 2005-07-05
    Description: The project goals are: Make data analysis faster and cheaper. Increase use of NASA data by removing barriers to data access. Cope with data heterogeneity. Support code reuse and rapid application development. Support multiple applications, users. Including fire and health domains. Improve QOS. Always provide an answer. Tell user how good it is, where it come from.
    Keywords: Meteorology and Climatology
    Format: text
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    NASA TECHNICAL REPORTS
  • 3
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    A Metadata Action Language (2001)
    In:  CASI
    Details
    Publication Date: 2013-08-29
    Description: The data management problem comprises data processing and data tracking. Data processing is the creation of new data based on existing data sources. Data tracking consists of storing metadata descriptions of available data. This paper addresses the data management problem by casting it as an AI planning problem. Actions are data-processing commands, plans are dataflow programs and goals are metadata descriptions of desired data products. Data manipulation is simply plan generation and execution, and a key component of data tracking is inferring the effects of an observed plan. We introduce a new action language for data management domains, called ADILM. We discuss the connection between data processing and information integration and show how a language for the latter must be modified to support the former. The paper also discusses information gathering within a data-processing framework, and show how ADILM metadata expressions are a generalization of Local Completeness.
    Keywords: Documentation and Information Science
    Type: ISIRAS Conference; Montreal; Canada
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    NASA TECHNICAL REPORTS
  • 4
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    The Loyal Opposition Comments on Plan Domain Description Languages (2003)
    In:  CASI
    Details
    Publication Date: 2018-06-06
    Description: In this paper we take a critical look at PDDL 2.1 as designers and users of plan domain description languages. We describe planning domains that have features which are hard to model using PDDL 2.1. We then offer some suggestions on domain description language design, and describe how these suggestions make modeling our chosen domains easier.
    Keywords: Mathematical and Computer Sciences (General)
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 5
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    Structure Constraints in a Constraint-Based Planner (2004)
    In:  CASI
    Details
    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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    NASA TECHNICAL REPORTS
  • 6
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    Automated Data Processing as an AI Planning Problem (2003)
    In:  CASI
    Details
    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 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.
    Keywords: Instrumentation and Photography
    Type: 14th International Conference on Automated Planning and Scheduling; Jun 03, 2004 - Jun 07, 2004; Whistler, British Columbia; Canada
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    NASA TECHNICAL REPORTS
  • 7
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    Intelligent Agents for Science Data Processing (2003)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: In order to conduct research into global warming, the Earth Observing System Data and Information System (EOSDIS) generates a large and growing volume of data. This viewgraph presentation describes the architecture needed to manage the remote sensing data, and the numerical analysis used to process it.
    Keywords: Computer Systems
    Type: ISI Talk; Apr 25, 2003; Moffett Field, CA; United States
    Format: text
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    NASA TECHNICAL REPORTS
  • 8
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    A Domain Description Language for Data Processing (2003)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: We discuss an application of planning to data processing, a planning problem which poses unique challenges for domain description languages. We discuss these challenges and why the current PDDL standard does not meet them. We discuss DPADL (Data Processing Action Description Language), a language for describing planning domains that involve data processing. DPADL is a declarative, object-oriented language that supports constraints and embedded Java code, object creation and copying, explicit inputs and outputs for actions, and metadata descriptions of existing and desired data. DPADL is supported by the IMAGEbot system, which we are using to provide automation for an ecological forecasting application. We compare DPADL to PDDL and discuss changes that could be made to PDDL to make it more suitable for representing planning domains that involve data processing actions.
    Keywords: Computer Programming and Software
    Type: ICAPS Workshop on Future of PDDL; Jun 09, 2003; Trento; Italy
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    NASA TECHNICAL REPORTS
  • 9
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    Constraint Reasoning Over Strings (2003)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: This paper discusses an approach to representing and reasoning about constraints over strings. We discuss how many string domains can often be concisely represented using regular languages, and how constraints over strings, and domain operations on sets of strings, can be carried out using this representation.
    Keywords: Systems Analysis and Operations Research
    Type: Constraint Programming 2003; Sep 09, 2003; Kinsale; Ireland
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    NASA TECHNICAL REPORTS
  • 10
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    Acting on Information: Representing Actions That Manipulate Information (1999)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Information manipulation is the creation of new information based on existing information sources. This paper discusses problems that arise when planning for information manipulation, and proposes a novel action representation, called ADLIM, that addresses these problems, including: How to represent information in a way sufficient to express the effects of actions that modify the information. I present a simple, yet expressive, representation of information goals and effects that generalizes earlier work on representing sensing actions; How to concisely represent actions that copy information, or produce new information that is based on existing information sources. I show how this is a generalization of the frame problem, and present a solution based on generalized frame effects; and How to generate a pipeline of information-processing commands that will produce an output containing exactly the desired information. I present a new approach to goal regression.
    Keywords: Documentation and Information Science
    Type: Principles of Knowledge Representation and Reasoning; Apr 12, 2000 - Apr 15, 2000; Breckenridge, CO; United States
    Format: application/pdf
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    NASA TECHNICAL REPORTS
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