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    AIPS
    1994
    136views Artificial Intelligence» more  AIPS 1994»
    A Framework for Automatic Problem Decomposition in Planning
    13 years 9 months ago
    A Framework for Automatic Problem Decomposition in Planning
    Download  www.cse.ust.hk
    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 9 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 9 months ago
    The Need for Different Domain-independent Heuristics
    Download  www.cs.cmu.edu
    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 9 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 9 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 9 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 9 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 9 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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    AIPS
    1994
    79views Artificial Intelligence» more  AIPS 1994»
    Toward a Plan Steering Agent: Experiments with Schedule Maintenance
    13 years 9 months ago
    Toward a Plan Steering Agent: Experiments with Schedule Maintenance
    Download  www.cs.arizona.edu
    When a plan involves hundreds or thousands of events over time it can be di cult or impossible to tell whether those events are unfolding \according to plan" and to assess th...
    Tim Oates, Paul R. Cohen
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    AIPS
    1996
    131views Artificial Intelligence» more  AIPS 1996»
    Deduction-Based Refinement Planning
    13 years 9 months ago
    Deduction-Based Refinement Planning
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    Weintroduce a method of deduction-based refinement planning where prefabricated general solutions are adapted to special problems. Refmementproceeds by stepwise transforming nonco...
    Werner Stephan, Susanne Biundo
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