Multi-agent systems are a core area of research of modern artificial intelligence. A multi-agent system consists of multiple decision-making agents – such as software-based systems, physically-embodied robots, and humans - which interact in a shared environment to achieve certain goals. Multi-agent systems (MAS) research spans a range of technical problems, such as how to design planning and learning algorithms which enable agents to achieve specified goals in MAS; how to design MAS to incentivise certain behaviours in agents; how information is communicated and propagated among agents; and how norms, conventions and roles may emerge in MAS. A vast array of applications can be addressed using multi-agent methodologies, including autonomous driving, multi-robot factories, automated trading, commercial games, automated tutoring, and robotic rescue teams.
The purpose of this special issue, to be published in AI Communications, is to showcase current multi-agent systems research led by university and industry groups which are based in the UK. We invite all research groups or institutes in the UK that have significant activity in multi-agent systems research to submit an article describing:
- the technical problems in multi-agent systems tackled by the group (research agenda), including applications and industry collaboration;
- the main approaches developed by the group and any key results achieved; and
- a description of important open challenges in multi-agent systems research as viewed or prioritised by the group.
There is no fixed article structure as long as the above questions are addressed in sufficient detail.
This special issue is being organised as part of the work of The Alan Turing Institute, the UK's the national institute for data science and artificial intelligence.
Your research group should be located in the UK and have significant activity in multi-agent systems research, e.g., as evidenced by a sustained publication track record in multi-agent systems research in leading conferences/journals. We define ‘group’ broadly, to include groups led by a single PI and institutes, which involve multiple PIs working in multi-agent systems research. Groups may be located at universities or at companies with significant research activity.
Submission and format
Articles should be formatted using the AI Communications LaTeX style. The article title should reflect the research focus of the group. There are no strict page limits, but we suggest no more than 10 pages. Articles can be submitted to the special issue via the submission portal below. At the 'select article type' step, please select 'Special issue: Multi-agent systems' from the drop down menu. Again at the 'section/category' step please also select 'Special issue on Multi-agent systems' from the drop down menu.
Deadline and review process
Submissions must be received no later than 30 April 2022. Each submission will be screened by the editors for eligibility, formatting, and whether (1-3) above are covered. Accepted articles will be published together in a dedicated issue of the journal, and made available online. Authors may also upload their preprint to a repository such as arXiv.
For any questions regarding the special issue or eligibility, please contact the special issue editors.
Stefano V. Albrecht
University of Edinburgh
University of Oxford