This study addresses the emerging concept of Industry 5.0, which aims to tackle societal
concerns associated with the ongoing digital industrial transformation. However, there is still …

Arguments that machine learning (ML) is facing a reproducibility and replication crisis
suggest that some published claims in research cannot be taken at face value. Concerns …

Achieving genuine (human-level) artificial general intelligence (AGI) is one of the major
goals of computer science, engineering, psychology, neuroscience, and mathematics. In this …

There have been several recent attempts at using Artificial Intelligence systems to model
aspects of consciousness (Gamez, 2008; Reggia, 2013). Deep Neural Networks have been …

Compositionality refers to the ability of an intelligent system to construct models out of
reusable parts. This is critical for the productivity and generalization of human reasoning …

Despite significant improvements in contemporary machine learning, symbolic methods
currently outperform artificial neural networks on tasks that involve compositional reasoning …

Artificial Intelligence continues to develop rapidly and provokes people to think about
Artificial consciousness. Anthropocentric understanding considers consciousness a unique …

Creating machines that are conscious is a long-term objective of research in artificial
intelligence. This paper looks at this idea with new arguments from physics and logic …

Artificial intelligence is regarded in the context of the tasks that are delegated to it during the
development of technical projects and the features of the implementation of tasks that must …

Thus far, we have experienced three artificial intelligence (AI) booms. In the third one, we
succeeded in developing AI that partially surpassed human capabilities. However, we are …