There is a lack of formalism for some key foundational concepts in systems engineering.
One of the most recently acknowledged deficits is the inadequacy of systems engineering …

In recent years, engineering intelligent systems has become closely related to integrating
artificial intelligence (AI) or machine learning (ML) components into systems. There is a …

There is an increasing demand for operational uses of machine learning (ML), however, a
lack of best practices for test and evaluation (T &E) of learning systems is a hindrance to …

The endogenous evolution of intelligent systems exposes insufficiencies in some systems
engineering activities that rely on exogenous properties of systems. One of these activities is …

The availability of diagnostic and therapeutic alternatives allows trainee medical
professionals to receive more simulation-based training. In recent years, the entertainment …

As intelligent systems become increasingly integrated into our daily lives, it has become
evident that there is a mismatch between traditional systems engineering (SE) practices and …

As machine learning (ML) models are integrated more and more into critical systems,
questions regarding their ethical use intensify. This paper advocates for a loss-driven …

This systematic literature review (SLR) investigates how systems-and software engineers
should approach verification and validation (V&V) of complex Artificial Intelligence (AI) …

The advancement of open architecture ecosystems is fundamentally dependent on the
interoperability, scalability, and adaptability of their constituent elements. As Machine …

Banking enterprises globally are considering the adoption and leveraging of the benefits of
blockchain technology to enhance their processes. Most of these organisations seek ways to …