Explainable Artificial Intelligence (XAI) has experienced a significant growth over the last few
years. This is due to the widespread application of machine learning, particularly deep …

Neuro-symbolic AI is an emerging subfield of Artificial Intelligence that brings together two
hitherto distinct approaches.” Neuro” refers to the artificial neural networks prominent in …

In the last decade, with availability of large datasets and more computing power, machine
learning systems have achieved (super) human performance in a wide variety of tasks …

The study and understanding of human behaviour is relevant to computer science, artificial
intelligence, neural computation, cognitive science, philosophy, psychology, and several …

Since its emergence in the 1960s, Artificial Intelligence (AI) has grown to conquer many
technology products and their fields of application. Machine learning, as a major part of the …

Abstract Advocates for Neuro-Symbolic Artificial Intelligence (NeSy) assert that combining
deep learning with symbolic reasoning will lead to stronger AI than either paradigm on its …

There is a long and unresolved debate between the symbolic and sub-symbolic methods.
However, in recent years, there is a push towards in-between methods. In this work, we …

Understanding the inferences of data-driven, machine-learned models can be seen as a
process that discloses the relationships between their input and output. These relationships …

As automated machine learning (AutoML) systems continue to progress in both
sophistication and performance, it becomes important to understand thehow'andwhy'of …

The dynamic nature and increasing complexity of the construction industry have led to
increased conflicts in construction projects. An accurate prediction of the outcome of a …