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    MKWI
    2008
    157views Business» more  MKWI 2008»
    Semantic-Based Planning of Process Models
    13 years 9 months ago
    Semantic-Based Planning of Process Models
    Download  ibis.in.tum.de
    : Process modelling has proved to be a powerful instrument to describe and manage the increasingly complex processes within and across enterprises. Yet, it requires a significant a...
    Matthias Henneberger, Bernd Heinrich, Florian Laut...
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    RSS
    2007
    151views Robotics» more  RSS 2007»
    Predicting Partial Paths from Planning Problem Parameters
    13 years 9 months ago
    Predicting Partial Paths from Planning Problem Parameters
    Download  people.csail.mit.edu
    — Many robot motion planning problems can be described as a combination of motion through relatively sparsely filled regions of configuration space and motion through tighter p...
    Sarah Finney, Leslie Pack Kaelbling, Tomás ...
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    AAAI
    2006
    98views Intelligent Agents» more  AAAI 2006»
    Techniques for Generating Optimal, Robust Plans when Temporal Uncertainty is Present
    13 years 9 months ago
    Techniques for Generating Optimal, Robust Plans when Temporal Uncertainty is Present
    Download  www.aaai.org
    Planning under uncertainty has been well studied, but usually the uncertainty is in action outcomes. This work instead investigates uncertainty in the amount of time that actions ...
    Janae N. Foss
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    AAAI
    2006
    94views Intelligent Agents» more  AAAI 2006»
    Factored MDP Elicitation and Plan Display
    13 years 9 months ago
    Factored MDP Elicitation and Plan Display
    Download  www.aaai.org
    The software suite we will demonstrate at AAAI '06 was designed around planning with factored Markov decision processes (MDPs). It is a user-friendly suite that facilitates d...
    Krol Kevin Mathias, Casey Lengacher, Derek William...
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    AIPS
    2006
    88views Artificial Intelligence» more  AIPS 2006»
    Structure and Problem Hardness: Goal Asymmetry and DPLL Proofs in SAT-Based Planning
    13 years 9 months ago
    Structure and Problem Hardness: Goal Asymmetry and DPLL Proofs in SAT-Based Planning
    Download  www.cs.cornell.edu
    In AI Planning, as well as Verification, a successful method is to compile the application into boolean satisfiability (SAT), and solve it with state-of-the-art DPLL-based procedu...
    Jörg Hoffmann, Carla P. Gomes, Bart Selman
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