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» Answer set programming with default logic
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ML
2006
ACM
131views Machine Learning» more  ML 2006»
14 years 9 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
LPNMR
2009
Springer
15 years 4 months ago
On the Input Language of ASP Grounder Gringo
We report on recent advancements in the development of grounder Gringo for logic programs under answer set semantics. Like its relatives, DLV and Lparse, Gringo has in the meantime...
Martin Gebser, Roland Kaminski, Max Ostrowski, Tor...
TPLP
2002
117views more  TPLP 2002»
14 years 9 months ago
On Properties of Update Sequences Based on Causal Rejection
In this paper, we consider an approach to update nonmonotonic knowledge bases represented as extended logic programs under the answer set semantics. In this approach, new informat...
Thomas Eiter, Michael Fink, Giuliana Sabbatini, Ha...
LPNMR
2001
Springer
15 years 1 months ago
Bounded LTL Model Checking with Stable Models
In this paper bounded model checking of asynchronous concurrent systems is introduced as a promising application area for answer set programming. As the model of asynchronous syst...
Keijo Heljanko, Ilkka Niemelä
98
Voted
ICTAI
2007
IEEE
15 years 3 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