It builds upon and benefits from the large body of existing work in logic programming, both in semantics and implementation, but also presents new challenges to the field.
PLP reasoning often requires the evaluation of large number of possible states before any answers can be produced thus braking the sequential search model of traditional logic programs.
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Developments in PLP include new languages that combine logic programming with probability theory as well as algorithms that operate over programs in these formalisms.
PLP is part of a wider current interest in probabilistic programming.
By promoting probabilities as explicit programming constructs, inference, parameter estimation and learning algorithms can be ran over programs which represent highly structured probability spaces.
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They say the rattan cane to be used on Kartika will be smaller and lighter than the one used for men and that she will remain clothed.
The prison official who canes her is also supposed to use very little force.