C-MAS2023: The First International Workshop on Citizen-Centric Multiagent Systems 

(held during AAMAS 2023, London, 29^th or 30^th May 2023)

Webpage: https://sites.google.com/view/cmas23  

Large-scale AI systems promise to address important societal challenges, such as decarbonising our energy system, transitioning to on-demand mobility or responding effectively to disasters. However, citizen end users are often seen as peripheral to these systems, assumed to be passively providing data and consuming services. The goal of this workshop is to explore alternative approaches that treat citizen end users as first-class agents with diverse needs and preferences, thus enabling more trustworthy, fairer and potentially more widely accepted sociotechnical solutions to pressing societal challenges. The workshop will draw on the substantial body of work within multi-agent systems on how to model, design and reason about complex systems of interacting self-interested agents, which may include citizen end users, service providers, governmental bodies and other stakeholders. It will also build on emerging techniques from human-centred AI to promote fairness and to enable explainability.  

More specifically, some of the key open technical issues in enabling citizen-centric multi-agent systems (C-MAS) include:  

• Preference Learning: How to learn the needs and preferences of citizens? How to do this with sparse observations and limited interactions? How to preserve user privacy? How to aggregate preferences?  
• Incentive Design: How to minimise strategic behaviour and scope for manipulation by all stakeholders? How to offer incentives for behaviour change in a transparent and socially acceptable manner? 
• Fairness: How to ensure the C-MAS leads to fair and equitable decisions? How to monitor and minimise bias? How to trade off social, economic and environmental objectives within a C-MAS?  
• Explainability and Feedback: How to explain decisions to citizens? How to involve all stakeholders in gathering feedback, co-designing and monitoring the operation of a C-MAS?  

The workshop is closely related to topics discussed at AAMAS, but with a focus on human-centred approaches. In particular, we encourage submissions using a wide range of MAS techniques, including (but not limited to):  

• Agent-based modelling and simulation  
• Game theory and mechanism design, including game-theoretical analysis of C-MAS  
• Preference elicitation and negotiation, Preference aggregation and computational social choice  
• Formal methods and norms in C-MAS  
• Multiagent reinforcement learning (MARL) and interactive reinforcement learning  
• Human-in-the loop approaches, human-AI teaming  
• Novel deep learning approaches for single- and multi-agent systems  
• Multi-objective optimisation (both quantitative and qualitative) for C-MAS  
• Evaluation of agents in the context of C-MAS  
• Cooperative exploration and learning to cooperate and collaborate in C-MAS   
• Learning trust and reputation for C-MAS  
• Scaling learning techniques to large systems of C-MAS  
• Bio-inspired C-MAS  
• Explainable and responsible AI for C-MAS  
• Interdisciplinary approaches  

We also encourage submissions that look at applications of C-MAS to complex real-world problems. These might include domains such as the following (but also many more):  

• Smart transportation in urban and rural areas  
• Uses of AI systems in smart energy   
• Disaster response   
• AI in the healthcare domain  

This workshop will be relevant for researchers, both in industry and academia, whose research affects and involves citizen end users.    

Submission and important dates 

How to submit a paper  

Participants are invited to submit a short paper (4-6 pages, plus one page for references, Springer LNCS format) describing their work on one or more of the topics relevant to the workshop. Your paper should include a title as well as all authors and affiliations. It should articulate the objectives of the paper and provide a brief, but thorough description of the research related to the theme of the workshop. We encourage both mature research and work in progress. Accepted papers will be invited to submit a camera-ready version to be included in the open access pre-proceedings. All submissions to the workshop will be reviewed by the organising committee and the program committee, with at least two independent reviews per paper.  

Authors are requested to prepare their submissions by following the LNCS Springer format, preferably using the LaTeX template provided, but an MS Word template is also available.  

All papers must be submitted through the workshop's EasyChair page 
https://easychair.org/my/conference?conf=cmas23  
 

Important dates: 

• 30 January 2023: deadline for short paper submissions 
• 13 March 2023: Notification of acceptance following the review process 
• 15 April 2023: Deadline for submitting camera-ready papers for inclusion in the pre-proceedings 
• 29 or 30 May 2023: C-MAS workshop (in-person only)  
• Following the workshop: Invitation for full papers 

Proceedings and special issue 

All accepted short papers will be made available in the pre-proceedings. Please note that at least one author must register for the workshop in order for a paper to appear in the workshop’s pre-proceedings. After the conference all presenters will be invited to submit a full paper for the C-MAS 2023 proceedings to appear as a special issue in a related journal (tbc). 

Webpage: https://sites.google.com/view/cmas23 

For more information, please contact cmas23@soton.ac.uk. 

Organisers: 

• Behrad Koohy, University of Southampton 
• Kate Larson, University of Waterloo  
• Marija Slavkovik, University of Bergen  
• Natalia Criado, Universitat Politècnica de València  
• Sebastian Stein, University of Southampton 
• Vahid Yazdanpanah, University of Southampton