The necessity to manage inconsistency in Description Logics Knowledge Ba...
Automatic differentiation (AD) is a range of algorithms to compute the
n...
Hybrid Knowledge Bases based on Lifschitz's logic of Minimal Knowledge w...
Hybrid probabilistic logic programs can represent several scenarios than...
Probabilistic Logic Programming is an effective formalism for encoding
p...
Uncertain information is being taken into account in an increasing numbe...
While there exist several reasoners for Description Logics, very few of ...
Since the first conference held in Marseille in 1982, ICLP has been the
...
In Probabilistic Logic Programming (PLP) the most commonly studied infer...
Deep learning techniques play an increasingly important role in industri...
In Weighted Model Counting (WMC) we assign weights to Boolean literals a...
When modeling real world domains we have to deal with information that i...
Programming environments have evolved from purely text based to using
gr...
The paper presents an introduction to Artificial Intelligence (AI) in an...
Recently, we see a new type of interfaces for programmers based on web
t...
Lifted inference has been proposed for various probabilistic logical
fra...
Learning probabilistic logic programming languages is receiving an incre...
The distribution semantics is one of the most prominent approaches for t...
Many real world domains require the representation of a measure of
uncer...