Logic Programs with Annotated Disjunctions (LPADs) allow to express probabilistic information in logic programming. The semantics of an LPAD is given in terms of well founded models of the normal logic programs obtained by selecting one disjunct from each ground LPAD clause. The paper presents SLGAD resolution that computes the (con- ditional) probability of a ground query from an LPAD and is based on SLG resolution for normal logic programs. The performances of SLGAD are evaluated on classical benchmarks for normal logic programs under the well founded semantics, namely the stalemate game and the ancestor relation. The results show that SLGAD has good scaling properties and is able to deal with cyclic programs.

The SLGAD Procedure for Inference on Logic Programs with Annotated Disjunctions

RIGUZZI, Fabrizio
2008

Abstract

Logic Programs with Annotated Disjunctions (LPADs) allow to express probabilistic information in logic programming. The semantics of an LPAD is given in terms of well founded models of the normal logic programs obtained by selecting one disjunct from each ground LPAD clause. The paper presents SLGAD resolution that computes the (con- ditional) probability of a ground query from an LPAD and is based on SLG resolution for normal logic programs. The performances of SLGAD are evaluated on classical benchmarks for normal logic programs under the well founded semantics, namely the stalemate game and the ancestor relation. The results show that SLGAD has good scaling properties and is able to deal with cyclic programs.
2008
Probabilistic Logic Programming; Well Founded Semantics; Logic Programs with Annotated Disjunctions; SLG resolution
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/1392576
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