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    AIPS
    1994
    107views Artificial Intelligence» more  AIPS 1994»
    Decomposition and Causality in Partial-order Planning
    13 years 5 months ago
    Decomposition and Causality in Partial-order Planning
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    We describe DPOCL, a partial-order causal linkplanner thatincludes actiondecomposition. DPOCL builds directly on the SNLP algorithm 10 , and hence is clear and simple, and can rea...
    R. Michael Young, Martha E. Pollack, Johanna D. Mo...
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    AIPS
    1994
    85views Artificial Intelligence» more  AIPS 1994»
    Case Adaptation in a Case-based Process Planning System
    13 years 5 months ago
    Case Adaptation in a Case-based Process Planning System
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    Hao Yang, Wen F. Lu
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    AIPS
    1994
    136views Artificial Intelligence» more  AIPS 1994»
    A Framework for Automatic Problem Decomposition in Planning
    13 years 5 months ago
    A Framework for Automatic Problem Decomposition in Planning
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    An intelligent problem solver must be able to decompose a complex problem into simpler parts. A decomposition algorithm would not only be bene cial for traditional subgoal-oriente...
    Qiang Yang, Shuo Bai, Guiyou Qiu
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    AIPS
    1994
    84views Artificial Intelligence» more  AIPS 1994»
    Linkability: Examining Causal Link Commitments in Partial-order Planning
    13 years 5 months ago
    Linkability: Examining Causal Link Commitments in Partial-order Planning
    Download  www.ri.cmu.edu
    Manuela M. Veloso, Jim Blythe
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    AIPS
    1994
    83views Artificial Intelligence» more  AIPS 1994»
    The Need for Different Domain-independent Heuristics
    13 years 5 months ago
    The Need for Different Domain-independent Heuristics
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    Peter Stone, Manuela M. Veloso, Jim Blythe
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    AIPS
    1994
    80views Artificial Intelligence» more  AIPS 1994»
    The Use of Supervenience in Dynamic-world Planning
    13 years 5 months ago
    The Use of Supervenience in Dynamic-world Planning
    Download  www.aaai.org
    Thispaperdescribesthe use of superveniencein integrating planningand reaction in complex,dynamicenvironments. ienceis a formof abstractionwithaffinities both action in AIplannings...
    Lee Spector, James A. Hendler
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    AIPS
    1994
    130views Artificial Intelligence» more  AIPS 1994»
    Becoming Increasingly Reliable
    13 years 5 months ago
    Becoming Increasingly Reliable
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    Autonomousmobile robots need to detect potential failures reliably and react appropriately. Dueto uncertainties about the robots and their environment,it is extremelydifficult to ...
    Reid G. Simmons
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    AIPS
    1994
    75views Artificial Intelligence» more  AIPS 1994»
    Synthesizing Protection Monitors from Causal Structure
    13 years 5 months ago
    Synthesizing Protection Monitors from Causal Structure
    Download  www.aiai.ed.ac.uk
    Protection monitors synthesized from plan causal structure provide execution systems with information necessary to detect potential failures early during execution. By detecting e...
    Glen A. Reece, Austin Tate
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    AIPS
    1994
    67views Artificial Intelligence» more  AIPS 1994»
    Opportunities: A Unifying Framework for Planning and Execution
    13 years 5 months ago
    Opportunities: A Unifying Framework for Planning and Execution
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    Louise Pryor, Gregg Collins
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    AIPS
    1994
    108views Artificial Intelligence» more  AIPS 1994»
    Control Knowledge to Improve Plan Quality
    13 years 5 months ago
    Control Knowledge to Improve Plan Quality
    Download  www.cs.cmu.edu
    Generating production-quality plans is an essential element in transforming planners from research tools into real-world applications. However most of the work to date on learning...
    M. Alicia Pérez, Jaime G. Carbonell
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