Edge computing promotes the execution of complex computational processes without the cloud, ie, on top of the heterogeneous, articulated, and possibly mobile systems composed …
R Casadei - Artificial Life, 2023 - ieeexplore.ieee.org
Collectiveness is an important property of many systems—both natural and artificial. By exploiting a large number of individuals, it is often possible to produce effects that go far …
Research trends are pushing artificial intelligence (AI) across the Internet of Things (IoT)– edge–fog–cloud continuum to enable effective data analytics, decision making, as well as …
Supported by current socio-scientific trends, programming the global behaviour of whole computational collectives makes for great opportunities, but also significant challenges …
Recently, vast investments have been made worldwide in developing Cyber-Physical Systems (CPS) as solutions to key socio-economic challenges. The Internet-of-Things (IoT) …
This work explores the large-scale multi-agent communication mechanism for multi-agent reinforcement learning (MARL). We summarize the general topology categories for …
Developing and releasing multiservice applications rely upon a pipeline of automation tools known as Continuous Integration/Continuous Deployment. Among those tools, continuous …
Emerging cyber-physical systems, such as robot swarms, crowds of augmented people, and smart cities, require well-crafted self-organizing behavior to properly deal with dynamic …
Swarm behaviour engineering is an area of research that seeks to investigate methods for coordinating computation and action within groups of simple agents to achieve complex …