The 22nd European Agent Systems Summer School (EASSS 2020) will be organized by the Artificial Intelligence and Computer Science Lab of the University of Porto (LIACC), and held at the Faculty of Engineering of the University of Porto, Portugal, on July 20-24, 2020. EASSS 2020 is organized under the auspices of the European Association for Multi-Agent Systems (EURAMAS) and the Portuguese Association for Artificial Intelligence (APPIA), as an Advanced School on Artificial Intelligence.
The main goal of EASSS is to provide an exchange of knowledge among individuals and groups interested in various aspects of autonomous, agent-based and multi-agent systems research and practice. This dissemination is provided by formal state-of-the-art courses conducted by leading experts in the field and by informal meetings during the event. The school attracts both beginner and experienced researchers, encouraging cooperation between representatives of many branches of the Multi-Agent Systems research community.
The topics tackled within the field are becoming increasingly important due to the ubiquity of autonomous and distributed systems, such as the Internet of Things, intelligent buildings and smart cities, autonomous robots, agent-driven financial markets, etc. These kinds of applications demand innovative approaches in a number of research fields, including multi-agent systems engineering, coordination and cooperation, human-agent interaction, reasoning and planning, machine learning, game theory, modeling and simulation, and robotics. EASSS 2020 will be a privileged forum to learn the current trends in most of these fields, from both theoretical and practical perspectives. The courses will be taught by leading researchers in the field, and are aimed at Ph.D. students, advanced M.Sc. students, and other young researchers.
Since the initial edition of 1999 (Utrecht, Netherlands) the school has been held annually in different European locations. The previous edition took place in Maastricht, The Netherlands. The school usually attracts circa 50 students every year. A typical course is 4 hours long and provides a general introduction to the selected topic followed by an in-depth exposition of recent and relevant contributions.