Titlebook: Extensions of Logic Programming; 5th International Wo Roy Dyckhoff,Heinrich Herre,Peter Schroeder-Heiste Conference proceedings 1996 Spring

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Swayam Sampurna Panigrahi,Deepti Chandrang in a natural way. We define several semantics for constraint logic programs with bounded quantifiers and prove their equivalence. Our results can be used to define semantics for some existing constraint logic programming languages, like cc(FD).

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Transnationale Bezüge im Alltag in a multiagent situation and hypothetical reasoning) into Horn clauses, therefore suitable for SLD resolution. The translation takes two steps: the first one eliminates embedded implications by introducing new modalities; the second eliminates modalities by adding an argument which represents the worlds of the Kripke semantics to all predicates.

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Semantics of constraint logic programs with bounded quantifiers,ng in a natural way. We define several semantics for constraint logic programs with bounded quantifiers and prove their equivalence. Our results can be used to define semantics for some existing constraint logic programming languages, like cc(FD).

PARA

Translating a modal language with embedded implication into Horn clause logic, in a multiagent situation and hypothetical reasoning) into Horn clauses, therefore suitable for SLD resolution. The translation takes two steps: the first one eliminates embedded implications by introducing new modalities; the second eliminates modalities by adding an argument which represents the worlds of the Kripke semantics to all predicates.

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Pruning the search space of logic programs, the implementation of pruning operators allows us to compare alternative pruning strategies at a suitably abstract level. In this perspective, we examine the commit operator featured by the language G?del.

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https://doi.org/10.1007/978-1-4471-0001-0of the interest of our approach. Last but not least, a nice side effect exploits the model building capabilities of the approach: it is shown on one representative example how the method can be used to detect (and to correct) errors in logic programs. Main lines of future research are given.

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