Humans rely on abstraction and conceptual frameworks, whereas AI systems apply statistical or rule-based methods, each with limits. Bridging these approaches could pave the way for more flexible, ...

August 13, 2024 - There is no question that artificial intelligence (AI) is transforming our society in a manner not seen since the advent of the internet. As members of the public, lawyers are not ...

The field of fuzzy Petri nets (FPNs) has seen considerable advancements as a robust framework for addressing uncertainty in knowledge-based systems. By integrating fuzzy logic with traditional Petri ...

Scalable, production-level AI requires two bases: the known sources of human knowledge and a reliable data infrastructure.

The field of terminology and knowledge representation in specialised texts is undergoing a period of rapid evolution, driven by the increasing demand for semantic interoperability and contextual ...

While AI assistants such as Copilot have streamlined software development workflows, heavy reliance on them comes with potential risks. Viewing AI assistants as full-fledged partners rather than as ...