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ECAI
2008
Springer
13 years 9 months ago
A new Approach for Solving Satisfiability Problems with Qualitative Preferences
The problem of expressing and solving satisfiability problems (SAT) with qualitative preferences is central in many areas of Computer Science and Artificial Intelligence. In previo...
Emanuele Di Rosa, Enrico Giunchiglia, Marco Marate...
ECAI
2010
Springer
13 years 9 months ago
Learning When to Use Lazy Learning in Constraint Solving
Abstract. Learning in the context of constraint solving is a technique by which previously unknown constraints are uncovered during search and used to speed up subsequent search. R...
Ian P. Gent, Christopher Jefferson, Lars Kotthoff,...
ATAL
2007
Springer
14 years 2 months ago
On opportunistic techniques for solving decentralized Markov decision processes with temporal constraints
Decentralized Markov Decision Processes (DEC-MDPs) are a popular model of agent-coordination problems in domains with uncertainty and time constraints but very difficult to solve...
Janusz Marecki, Milind Tambe
CSCLP
2008
Springer
13 years 9 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
ICALP
2007
Springer
13 years 12 months ago
Affine Systems of Equations and Counting Infinitary Logic
We study the definability of constraint satisfaction problems (CSP) in various fixed-point and infinitary logics. We show that testing the solvability of systems of equations over...
Albert Atserias, Andrei A. Bulatov, Anuj Dawar