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AIPS
2006
13 years 11 months ago
Optimal STRIPS Planning by Maximum Satisfiability and Accumulative Learning
Planning as satisfiability (SAT-Plan) is one of the best approaches to optimal planning, which has been shown effective on problems in many different domains. However, the potenti...
Zhao Xing, Yixin Chen, Weixiong Zhang
ICAI
2003
13 years 11 months ago
Threshold Behavior in a Boolean Network Model for SAT
Boolean satisfiability (SAT) is the canonical NP-complete problem that plays an important role in AI and has many practical applications in Computer Science in general. Boolean n...
Alejandro Bugacov, Aram Galstyan, Kristina Lerman
CADE
2008
Springer
14 years 10 months ago
Engineering DPLL(T) + Saturation
Satisfiability Modulo Theories (SMT) solvers have proven highly scalable, efficient and suitable for integrated theory reasoning. The most efficient SMT solvers rely on refutationa...
Leonardo Mendonça de Moura, Nikolaj Bj&osla...
VLDB
2009
ACM
143views Database» more  VLDB 2009»
14 years 10 months ago
Sampling-based estimators for subset-based queries
We consider the problem of using sampling to estimate the result of an aggregation operation over a subset-based SQL query, where a subquery is correlated to an outer query by a NO...
Shantanu Joshi, Christopher M. Jermaine
ICTAI
2008
IEEE
14 years 4 months ago
Let the Solver Deal with Redundancy
Handling redundancy in propositional reasoning and search is an active path of theoretical research. For instance, the complexity of some redundancy-related problems for CNF formu...
Cédric Piette