Modeling and forecasting the spread of COVID-19 remains an open problem for several
reasons. One of these concerns the difficulty to model a complex system at a high resolution …

ActoDatA (Actor Data Analysis) is an actor-based software library for the development of
distributed data mining applications. It provides a multi-agent architecture with a set of …

Agent-based modeling and simulation techniques are widely and successfully used for
analyzing complex and emergent phenomena in many research and application areas …

The analysis of systems that can be modeled as networks of interacting entities is becoming
often more important in different research fields. The application of machine learning …

Abstract (DE) In dieser Dissertation wird die Entwicklung eines selbstorganisierenden
Produktionssystems untersucht, um die Herausforderungen in der Produktionsplanung und …

UK electricity demand is expected to increase by about 50-100% over the next 30 years,
driven primarily by the UK's net zero policy. The addition of renewables, EV's and other low …

In this paper, we make a first assessment of the performance of ActoDatA, a novel actor-
based software library for distributed data analysis and machine learning in Java that we …

Social networking systems are usually huge centralized systems owned by a single
company. However, this solution has many drawbacks (eg, lack of privacy, lack of …

This paper presents an actor-based software library, called Actomata, for the definition and
simulation of cellular automata models. Using Actomata, each cell of a model is defined by …

Agent-based modeling and simulation are some powerful techniques that are widely used
with success for analyzing complex and emergent phenomena in many research and …