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AIPS
2009
9 years 4 months ago
Inference and Decomposition in Planning Using Causal Consistent Chains
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
UAI
2001
9 years 5 months ago
A Calculus for Causal Relevance
We present a sound and complete calculus for causal relevance that uses Pearl's functional causal models as semantics. The calculus consists of axioms and rules of inference ...
Blai Bonet
HICSS
2005
IEEE
142views Biometrics» more  HICSS 2005»
9 years 9 months ago
Integrated Optimization and Multi-Agent Technology for Combined Production and Transportation Planning
In this research project, an integration of multi-agent technology and optimization techniques is suggested for the combined production and transport planning problem in a transpo...
Jan A. Persson, Paul Davidsson
AAAI
2007
9 years 6 months ago
Filtering, Decomposition and Search Space Reduction for Optimal Sequential Planning
We present in this paper a hybrid planning system which combines constraint satisfaction techniques and planning heuristics to produce optimal sequential plans. It integrates its ...
Stéphane Grandcolas, C. Pain-Barre
ICML
2005
IEEE
10 years 4 months ago
Predicting protein folds with structural repeats using a chain graph model
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
Yan Liu, Eric P. Xing, Jaime G. Carbonell
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