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AI
2003
Springer
14 years 20 days ago
A Graph Based Backtracking Algorithm for Solving General CSPs
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to constraints. While solving a CSP is an NP-complet...
Wanlin Pang, Scott D. Goodwin
CP
2007
Springer
14 years 1 months ago
The Log-Support Encoding of CSP into SAT
It is known that Constraint Satisfaction Problems (CSP) can be converted into Boolean Satisfiability problems (SAT); however how to encode a CSP into a SAT problem such that a SAT...
Marco Gavanelli
ATAL
2007
Springer
14 years 1 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
CP
2006
Springer
13 years 11 months ago
A New Algorithm for Sampling CSP Solutions Uniformly at Random
The paper presents a method for generating solutions of a constraint satisfaction problem (CSP) uniformly at random. The main idea is to express the CSP as a factored probability d...
Vibhav Gogate, Rina Dechter
CP
2010
Springer
13 years 6 months ago
A Complete Multi-valued SAT Solver
We present a new complete multi-valued SAT solver, based on current state-of-the-art SAT technology. It features watched literal propagation and conflict driven clause learning. W...
Siddhartha Jain, Eoin O'Mahony, Meinolf Sellmann