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» Representing Configuration Knowledge With Weight Constraint ...
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AIPS
2010
13 years 5 months ago
Iterative Learning of Weighted Rule Sets for Greedy Search
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted actio...
Yuehua Xu, Alan Fern, Sung Wook Yoon
CSCLP
2008
Springer
13 years 7 months ago
From Rules to Constraint Programs with the Rules2CP Modelling Language
In this paper, we present a rule-based modelling language for constraint programming, called Rules2CP. Unlike other modelling languages, Rules2CP adopts a single knowledge represen...
François Fages, Julien Martin
IEAAIE
2001
Springer
13 years 9 months ago
Why Use a Unified Knowledge Representation?
In a unified knowledge representation, data, information and knowledge are all represented in a single formalism. A unified knowledge representation based on “items” is describ...
John K. Debenham
JSS
2010
136views more  JSS 2010»
13 years 2 days ago
Automated diagnosis of feature model configurations
Software product-lines (SPLs) are software architectures that can be readily reconfigured for different project requirements. A key part of an SPL is a model that captures the rul...
Jules White, David Benavides, Douglas C. Schmidt, ...
CORR
2006
Springer
112views Education» more  CORR 2006»
13 years 5 months ago
Satisfying KBO Constraints
Abstract. This paper presents two new approaches to prove termination of rewrite systems with the Knuth-Bendix order efficiently. The constraints for the weight function and for th...
Harald Zankl, Aart Middeldorp