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    AAAI
    1994
    111views Intelligent Agents» more  AAAI 1994»
    Least-Cost Flaw Repair: A Plan Refinement Strategy for Partial-Order Planning
    13 years 6 months ago
    Least-Cost Flaw Repair: A Plan Refinement Strategy for Partial-Order Planning
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    David Joslin, Martha E. Pollack
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    AAAI
    2000
    93views Intelligent Agents» more  AAAI 2000»
    Towards Feasible Approach to Plan Checking under Probabilistic Uncertainty: Interval Methods
    13 years 6 months ago
    Towards Feasible Approach to Plan Checking under Probabilistic Uncertainty: Interval Methods
    Download  www.aaai.org
    The main problem of planning is to find a sequence of actions that an agent must perform to achieve a given objective. An important part of planning is checking whether a given pl...
    Raul Trejo, Vladik Kreinovich, Chitta Baral
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    AAAI
    1996
    167views Intelligent Agents» more  AAAI 1996»
    Design and Implementation of a Replay Framework Based on a Partial Order Planner
    13 years 6 months ago
    Design and Implementation of a Replay Framework Based on a Partial Order Planner
    Download  rakaposhi.eas.asu.edu
    In this paper we describe the design and implementation of the derivation replay framework, dersnlp+ebl (Derivational snlp+ebl), which is based within a partial order planner. der...
    Laurie H. Ihrig, Subbarao Kambhampati
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    TBILLC
    2005
    Springer
    153views Natural Language Processing» more  TBILLC 2005»
    Real World Multi-agent Systems: Information Sharing, Coordination and Planning
    13 years 10 months ago
    Real World Multi-agent Systems: Information Sharing, Coordination and Planning
    Download  www.science.uva.nl
    Abstract. Applying multi-agent systems in real world scenarios requires several essential research questions to be answered. Agents have to perceive their environment in order to t...
    Frans C. A. Groen, Matthijs T. J. Spaan, Jelle R. ...
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    AAAI
    2006
    87views Intelligent Agents» more  AAAI 2006»
    PPCP: Efficient Probabilistic Planning with Clear Preferences in Partially-Known Environments
    13 years 6 months ago
    PPCP: Efficient Probabilistic Planning with Clear Preferences in Partially-Known Environments
    Download  www.aaai.org
    Maxim Likhachev, Anthony Stentz
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