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    AIPS
    1996
    120views Artificial Intelligence» more  AIPS 1996»
    Expressive Planning and Explicit Knowledge
    13 years 9 months ago
    Expressive Planning and Explicit Knowledge
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    Weare concerned with the implications and interactions of three commonexpressive extensions to classical planning: conditional plans, context-dependent actions, and nondeterminist...
    Robert P. Goldman, Mark S. Boddy
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    AIPS
    1994
    70views Artificial Intelligence» more  AIPS 1994»
    Planning for Dynamic Configuration of Component-based Architectures
    13 years 9 months ago
    Planning for Dynamic Configuration of Component-based Architectures
    Download  www.aaai.org
    The Scenario-based Engineering Process (SEP)is a novel approachto developingcomplexsystems.SEPbuilds newapplication systemsthrougha selectionprocessthat groupsprimitive components...
    Gail Haddock
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    AIPS
    1996
    91views Artificial Intelligence» more  AIPS 1996»
    Computing Parameter Domains as an Aid to Planning
    13 years 9 months ago
    Computing Parameter Domains as an Aid to Planning
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    Weshowthat by inferring parametexdomainsof planningoperators,given the definitions of the operators and the initial and goal conditions, we can often speed up the planning process...
    Alfonso Gerevini, Lenhart K. Schubert
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    AIPS
    1994
    81views Artificial Intelligence» more  AIPS 1994»
    Decision-theoretic Refinement Planning Using Inheritance Abstraction
    13 years 9 months ago
    Decision-theoretic Refinement Planning Using Inheritance Abstraction
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    Peter Haddawy, Meliani Suwandi
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    AIPS
    1996
    101views Artificial Intelligence» more  AIPS 1996»
    Planning Experiments: Resolving Interactions between Two Planning Spaces
    13 years 9 months ago
    Planning Experiments: Resolving Interactions between Two Planning Spaces
    Download  www.isi.edu
    Learning from experimentation allows a system to acquire planning domain knowledge by correcting its knowledge when an action execution fails. Experiments are designed and planned...
    Yolanda Gil
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    AIPS
    1994
    83views Artificial Intelligence» more  AIPS 1994»
    Testing Incremental Adaptation
    13 years 9 months ago
    Testing Incremental Adaptation
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    A robot system operating in an environmentin which there is uncertainty and changeneeds to combinethe ability to react withthe ability to plan ahead. In a previous paper wepropose...
    Damian M. Lyons, Antonius J. Hendriks
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    AIPS
    1996
    78views Artificial Intelligence» more  AIPS 1996»
    Static and Completion Analysis for Planning Knowledge Base Development and Verification
    13 years 9 months ago
    Static and Completion Analysis for Planning Knowledge Base Development and Verification
    Download  www.aaai.org
    A key obstacle hampering fielding of AI planning applications is the considerable expense of developing, verifying, updating, and maintaining the planning knowledge base (KB). Pla...
    Steve A. Chien
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    AIPS
    1994
    79views Artificial Intelligence» more  AIPS 1994»
    Reasoning About When to Start Acting
    13 years 9 months ago
    Reasoning About When to Start Acting
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    Facedwith a complicatedtask, someinitial planningcan significantlyincreasethe likelihoodof successandincrease efficiency, butplanningfor toolongbeforestarting to act canreduceeffi...
    Richard Goodwin
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    AIPS
    1996
    81views Artificial Intelligence» more  AIPS 1996»
    Least-Commitment Action Selection
    13 years 9 months ago
    Least-Commitment Action Selection
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    The principle of least commitment was embraced early in planning research. Hierarchical task networks (HTNs)reason about high-level tasks without committing to specific low-level ...
    Marc Friedman, Daniel S. Weld
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    AIPS
    1994
    82views Artificial Intelligence» more  AIPS 1994»
    Conditional Linear Planning
    13 years 9 months ago
    Conditional Linear Planning
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    Robert P. Goldman, Mark S. Boddy
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