Insufficient data volume and quality are particularly pressing challenges in the adoption of
modern subsymbolic AI. To alleviate these challenges, AI simulation recommends …

Model-based Systems Engineering (MBSE) advocates the use of models in every stage of
development, leading to large number of models that need coordination, collaboration, and …

Requirements are often incomplete or imprecise. Especially when innovation is a
pronounced aspect of product development, sufficiently refined requirements can only be …

In this article we discuss how we can facilitate the growing need for early validation and
verification (V&V) of system behaviour in Model-Based Systems Engineering (MBSyE) …

The widespread adoption of digital twins gave rise to emerging systems of interconnected
digital twins, often dubbed aggregated or hierarchical digital twins. In such emerging …

Insufficient data volume and quality are particularly pressing challenges in the adoption of
modern subsymbolic AI. To alleviate these challenges, AI simulation recommends …

The systematic engineering of Digital Twins (DTs) requires the establishment of clear
methodologies supported by intelligent tooling. We propose an approach to guide the user …

Abstract The Twinning paradigm–subsuming Digital Models, Digital Shadows and Digital
Twins–is a powerful enabler for analyzing, verifying, deploying and maintaining complex …

In the automotive industry, new systems are being developed to enhance vehicle safety and
driver convenience. These systems are increasingly complex to build and maintain. To …