Role-based learning holds the promise of achieving scalable multi-agent learning by
decomposing complex tasks using roles. However, it is largely unclear how to efficiently …

The role concept provides a useful tool to design and understand complex multi-agent
systems, which allows agents with a similar role to share similar behaviors. However …

Role-based learning is a promising approach to improving the performance of Multi-Agent
Reinforcement Learning (MARL). Nevertheless, without manual assistance, current role …

В монографии представлены результаты цикла исследований в области разработки
информационных технологий для поддержки управления безопасностью …

Due to an increasingly decentralized fashion of electricity generation from fluctuating,
renewable energy sources, new control concepts have to be found to manage a multitude of …

The world is moving toward a new connected world in which millions of intelligent
processing devices communicate with each other to provide services in transportation …

Self-organization has been proposed to be implemented in complex systems which require
the automation capabilities to govern itself and to adapt upon changes. Self-organizing …

In this study, the discrete and dynamic problem of berth allocation in maritime terminals, is
investigated. The suggested resolution method relies on a paradigm of optimization with two …

The agile software development life cycle is widely used in industry today due to its highly
flexible and iterative processes that facilitate rapid prototyping. There has been recent work …

A System-of-Systems (SoS) is a large-scale complex system that integrates multiple
constituent systems, which have managerial and operational independence. In order to …