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LPNMR
2004
Springer
15 years 3 months ago
Probabilistic Reasoning With Answer Sets
This paper develops a declarative language, P-log, that combines logical and probabilistic arguments in its reasoning. Answer Set Prolog is used as the logical foundation, while c...
Chitta Baral, Michael Gelfond, J. Nelson Rushton
CORR
2000
Springer
120views Education» more  CORR 2000»
14 years 9 months ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
ESWS
2007
Springer
15 years 4 months ago
A Reasoning Framework for Rule-Based WSML
WSML is an ontology language specifically tailored to annotate Web Services, and part of its semantics adheres to the rule-based knowledge representation paradigm of logic program...
Stephan Grimm, Uwe Keller, Holger Lausen, Gá...
AAAI
2004
14 years 11 months ago
Adding Time and Intervals to Procedural and Hierarchical Control Specifications
In this paper we introduce the language Golog+HTNT I for specifying control using procedural and HTN-based constructs together with deadlines and time restrictions. Our language s...
Tran Cao Son, Chitta Baral, Le-Chi Tuan
LPNMR
2009
Springer
15 years 2 months ago
Belief Logic Programming: Uncertainty Reasoning with Correlation of Evidence
Abstract. Belief Logic Programming (BLP) is a novel form of quantitative logic programming in the presence of uncertain and inconsistent information, which was designed to be able ...
Hui Wan, Michael Kifer