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AAAI
2000
15 years 7 months ago
Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
One challenge for research in constraint-based scheduling has been to produce scalable solution procedures under fairly general representational assumptions. Quite often, the comp...
Amedeo Cesta, Angelo Oddi, Stephen F. Smith
SAC
2010
ACM
16 years 1 months ago
Variable ranges in linear constraints
We introduce an extension of linear constraints, called linearrange constraints, which allows for (meta-)reasoning about the approximation width of variables. Semantics for linear...
Salvatore Ruggieri, Fred Mesnard
JAIR
2010
130views more  JAIR 2010»
15 years 4 months ago
A Constraint Satisfaction Framework for Executing Perceptions and Actions in Diagrammatic Reasoning
Diagrammatic reasoning (DR) is pervasive in human problem solving as a powerful adjunct to symbolic reasoning based on language-like representations. The research reported in this...
Bonny Banerjee, B. Chandrasekaran
CIA
2006
Springer
15 years 10 months ago
Coverage Density as a Dominant Property of Large-Scale Sensor Networks
Large-scale sensor networks are becoming more present in our life then ever. Such an environment could be a cellular network, an array of fire detection sensors, an array of solar ...
Osher Yadgar, Sarit Kraus
AAAI
2007
15 years 8 months ago
Learning to Solve QBF
We present a novel approach to solving Quantified Boolean Formulas (QBF) that combines a search-based QBF solver with machine learning techniques. We show how classification met...
Horst Samulowitz, Roland Memisevic