Digital twinning is gaining popularity in domains outside of traditional engineered systems,
including cyber-physical systems (CPS) with biological modalities, or cyber-biophysical …

The next generation of engineered systems ought to be more sustainable. In this context,
Digital Twins play a crucial role as key enablers of sustainability ambitions in systems …

The perception of the value and propriety of modern engineered systems is changing. In
addition to their functional and extra-functional properties, nowadays' systems are also …

Digital Twins are real-time and high-fidelity virtual representations of physical assets [1]. The
intent of a Digital Twin is to provide data-intensive software applications with a proxy …

Extraordinary amounts of fresh produce are never purchased and are discarded as waste.
Reinforcement learning (RL) could serve as a means to improve business profits while …

As digitalization is permeating all sectors of society toward the concept of “smart everything,”
and virtual technologies and data are gaining a dominant place in the engineering and …

Human guidance is often desired in reinforcement learning to improve the performance of
the learning agent. However, human insights are often mere opinions and educated …

Nowadays, smart systems require the use of Digital Twins (DTs) for their engineering and
management. Self-updating capability is a key feature in the DT technology. This raises the …

Discrete event simulation, formalized as deductive modeling, has been shown to be effective
for studying dynamical systems. Development of models, however, is challenging when …

Decision-making is a fundamental problem in the modern world. Technology has developed
to a level where automated decision-making is used even in safety-critical systems such as …