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» Set based logic programming
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ML
2006
ACM
131views Machine Learning» more  ML 2006»
13 years 10 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
ATAL
2005
Springer
14 years 3 months ago
Specifying and Analysing Agent-Based Social Institutions Using Answer Set Programming
In this paper we discuss the use of the Answer Set Programming paradigm for representing and analysing specifications of agent-based institutions. We outline the features of insti...
Owen Cliffe, Marina De Vos, Julian A. Padget
ICTAI
2007
IEEE
14 years 4 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
LPKR
1997
Springer
14 years 2 months ago
Disjunctive Logic Programming and Autoepistemic Logic
In this paper, we use autoepistemic reasoning semantics to classify various semantics for disjunctive logic programs with default negation. We have observed that two different typ...
Li-Yan Yuan, Jia-Huai You, Randy Goebel
JELIA
2010
Springer
13 years 8 months ago
A Normal Form for Linear Temporal Equilibrium Logic
In previous work, the so-called Temporal Equilibrium Logic (TEL) was introduced. This formalism provides an extension of the Answer Set semantics for logic programs to arbirary the...
Pedro Cabalar