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    AIPS
    1994
    107views Artificial Intelligence» more  AIPS 1994»
    Decomposition and Causality in Partial-order Planning
    14 years 8 days 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
    14 years 8 days 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
    14 years 8 days 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
    14 years 8 days ago
    Linkability: Examining Causal Link Commitments in Partial-order Planning
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    Manuela M. Veloso, Jim Blythe
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    AIPS
    1994
    83views Artificial Intelligence» more  AIPS 1994»
    The Need for Different Domain-independent Heuristics
    14 years 8 days 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
    14 years 8 days ago
    The Use of Supervenience in Dynamic-world Planning
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    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
    14 years 8 days 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
    14 years 8 days ago
    Synthesizing Protection Monitors from Causal Structure
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    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
    14 years 8 days 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
    14 years 8 days 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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