Argumentation problems are concerned with determining the acceptability ...
Neural-symbolic AI (NeSy) allows neural networks to exploit symbolic
bac...
Over the past three decades, the logic programming paradigm has been
suc...
Quantitative extensions of logic programming often require the solution ...
In this paper, we present an approach to Complex Event Processing (CEP) ...
We introduce SMProbLog, a generalization of the probabilistic logic
prog...
When collaborating with an AI system, we need to assess when to trust it...
Since the first conference held in Marseille in 1982, ICLP has been the
...
Training a model to detect patterns of interrelated events that form
sit...
Automated negotiation can be an efficient method for resolving conflict ...
Automated negotiation has been used in a variety of distributed settings...
State-of-the-art inference approaches in probabilistic logic programming...
We enable aProbLog---a probabilistic logical programming approach---to r...
We introduce DeepProbLog, a probabilistic logic programming language tha...
In recent work, we proved that the domain recursion inference rule makes...
Statistical relational models provide compact encodings of probabilistic...