Many practical problems can be understood as the search for a state of
a...
We developed a self-assessment tool for computing students in higher
edu...
An important sign of intelligence is the capacity to apply a body of
kno...
This paper presents a probabilistic extension of the well-known cellular...
This work examines the possibility of using syllable embeddings, instead...
Knowledge-based AI typically depends on a knowledge engineer to construc...
We present Probabilistic Decision Model and Notation (pDMN), a probabili...
ICLP is the premier international event for presenting research in logic...
Over the past decades, Answer Set Programming (ASP) has emerged as an
im...
In order to solve today's complex problems in the world of software
deve...
Peer assessment is a popular technique for a more fine-grained evaluatio...
This paper describes an extension to the DMN standard, called cDMN. It a...
Higher education provides a solid theoretical and practical, but mostly
...
Important building blocks of software engineering concepts are without a...
In Knowledge Representation, it is crucial that knowledge engineers have...
Programmers may be hesitant to use declarative systems, because of the
a...
In recent years the search for a proper formal definition of actual caus...
Since Pearl's seminal work on providing a formal language for causality,...
Cause-effect relations are an important part of human knowledge. In real...
CP-logic is a probabilistic extension of the logic FO(ID). Unlike ASP, b...
Previous research into the relation between ASP and classical logic has
...
Given a causal model of some domain and a particular story that has take...
This papers develops a logical language for representing probabilistic c...