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    AIPS
    2009
    127views Artificial Intelligence» more  AIPS 2009»
    An Optimal Temporally Expressive Planner: Initial Results and Application to P2P Network Optimization
    13 years 5 months ago
    An Optimal Temporally Expressive Planner: Initial Results and Application to P2P Network Optimization
    Download  www.cs.wustl.edu
    Temporally expressive planning, an important class of temporal planning, has attracted much attention lately. Temporally expressive planning is difficult; few existing planners ca...
    Ruoyun Huang, Yixin Chen, Weixiong Zhang
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    AIPS
    2009
    122views Artificial Intelligence» more  AIPS 2009»
    Suboptimal and Anytime Heuristic Search on Multi-Core Machines
    13 years 5 months ago
    Suboptimal and Anytime Heuristic Search on Multi-Core Machines
    Download  www2.parc.com
    In order to scale with modern processors, planning algorithms must become multi-threaded. In this paper, we present parallel shared-memory algorithms for two problems that underli...
    Ethan Burns, Seth Lemons, Wheeler Ruml, Rong Zhou
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    AIPS
    2009
    76views Artificial Intelligence» more  AIPS 2009»
    Thinking Ahead in Real-Time Search
    13 years 5 months ago
    Thinking Ahead in Real-Time Search
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    Dana S. Nau, Ugur Kuter, Emre Sefer
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    AIPS
    2009
    91views Artificial Intelligence» more  AIPS 2009»
    An Automatically Configurable Portfolio-based Planner with Macro-actions: PbP
    13 years 5 months ago
    An Automatically Configurable Portfolio-based Planner with Macro-actions: PbP
    Download  www.ing.unibs.it
    While several powerful domain-independent planners have recently been developed, no one of these clearly outperforms all the others in every known benchmark domain. We present PbP...
    Alfonso Gerevini, Alessandro Saetti, Mauro Vallati
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    AIPS
    2009
    84views Artificial Intelligence» more  AIPS 2009»
    Integrating Planning and Scheduling in a CP Framework: A Transition-Based Approach
    13 years 5 months ago
    Integrating Planning and Scheduling in a CP Framework: A Transition-Based Approach
    Download  users.cecs.anu.edu.au
    Debdeep Banerjee
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    AIPS
    2009
    112views Artificial Intelligence» more  AIPS 2009»
    Inference and Decomposition in Planning Using Causal Consistent Chains
    13 years 5 months ago
    Inference and Decomposition in Planning Using Causal Consistent Chains
    Download  www.tecn.upf.es
    Current state-of-the-art planners solve problems, easy and hard alike, by search, expanding hundreds or thousands of nodes. Yet, given the ability of people to solve easy problems...
    Nir Lipovetzky, Hector Geffner
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    AIPS
    2009
    103views Artificial Intelligence» more  AIPS 2009»
    Just-In-Time Scheduling with Constraint Programming
    13 years 5 months ago
    Just-In-Time Scheduling with Constraint Programming
    Download  becool.info.ucl.ac.be
    This paper considers Just-In-Time Job-Shop Scheduling, in which each activity has an earliness and a tardiness cost with respect to a due date. It proposes a constraint programmin...
    Jean-Noël Monette, Yves Deville, Pascal Van H...
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    AIPS
    2009
    65views Artificial Intelligence» more  AIPS 2009»
    Exploiting N-Gram Analysis to Predict Operator Sequences
    13 years 5 months ago
    Exploiting N-Gram Analysis to Predict Operator Sequences
    Download  www.cs.toronto.edu
    N-gram analysis provides a means of probabilistically predicting the next item in a sequence. Due originally to Shannon, it has proven an effective technique for word prediction i...
    Christian J. Muise, Sheila A. McIlraith, Jorge A. ...
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    AIPS
    2009
    122views Artificial Intelligence» more  AIPS 2009»
    Structural-Pattern Databases
    13 years 5 months ago
    Structural-Pattern Databases
    Download  tx.technion.ac.il
    abstraction heuristics, notably pattern-database and merge-and-shrink heuristics, are employed by some state-ofthe-art optimal heuristic-search planners. The major limitation of t...
    Michael Katz, Carmel Domshlak
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    AIPS
    2009
    102views Artificial Intelligence» more  AIPS 2009»
    Using Distance Estimates in Heuristic Search
    13 years 5 months ago
    Using Distance Estimates in Heuristic Search
    Download  www.cs.unh.edu
    This paper explores the use of an oft-ignored information source in heuristic search: a search-distance-to-go estimate. Operators frequently have different costs and cost-to-go is...
    Jordan Tyler Thayer, Wheeler Ruml
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