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PADL
2009
Springer
14 years 5 months ago
Layered Models Top-Down Querying of Normal Logic Programs
Abstract. For practical applications, the use of top-down query-driven proofprocedures is essential for an efficient use and computation of answers using Logic Programs as knowledg...
Alexandre Miguel Pinto, Luís Moniz Pereira
ICLP
2010
Springer
13 years 8 months ago
Tight Semantics for Logic Programs
We define the Tight Semantics (TS), a new semantics for all NLPs complying with the requirements of: 2-valued semantics; preserving the models of SM; guarantee of model existence...
Luís Moniz Pereira, Alexandre Miguel Pinto
CORR
2011
Springer
174views Education» more  CORR 2011»
12 years 8 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
ICTAI
2007
IEEE
13 years 11 months ago
Establishing Logical Rules from Empirical Data
We review a method of generating logical rules, or axioms, from empirical data. This method, using closed set properties of formal concept analysis, has been previously described ...
John L. Pfaltz
HYBRID
2010
Springer
13 years 11 months ago
On the connections between PCTL and dynamic programming
Probabilistic Computation Tree Logic (PCTL) is a wellknown modal logic which has become a standard for expressing temporal properties of finite-state Markov chains in the context...
Federico Ramponi, Debasish Chatterjee, Sean Summer...