publié le: 2020
Trends such as the Internet of Things lead to a growing number of networked devices and to a variety of communication systems. Adding self-adaptive ca...
Neural networks have been widely used in agent learning architectures; however, learnings for one task might nullify learnings for another. Behavioura...
One of the primary drivers for self-adaptation is ensuring that systems achieve their goals regardless of the uncertainties they face during operation...
publié le: 2021
In a multi-robot operation, multi-tasking resources are expected to simultaneously perform multiple tasks, thus, reducing the overall time/energy requ...
The concept of conventions has attracted much attention in the multi-agent system research. In this article, we study the emergence of conventions fro...
